description of the course baice42 6 4 lecturer...

List OS4 (BAICE43–EСТS 5) L4O1 Digital Control Systems L4O2 Analogue Electronic Measurement Instruments L4O3 Building Automation L4O4 Process Modelling and Optimization L4O5 Biotechnological measurements L4O6 Artificial Intelligence

DESCRIPTION OF THE COURSE

Name of the course: Logical Control of Processes and Systems

Code: BAICE42 Semester: 6

Type of teaching: Lectures, Course Assignment, Laboratory work

Lessons per week: L – 2 hours LW – 2 hours

Number of credits:4

LECTURER: Assoc. Prof. Ph.D. Krasimira Filipova (FA), tel.: 965 2526, еmail: [email protected].

Technical University of Sofia COURSE STATUS IN THE CURRICULUM : Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE : At the end of the course the students are expected to be able to apply the methodology for description of the logic of the control in discrete and discrete-continuous systems, to use the methods of minimization and decomposition to realize the control device in selected technologies. The students become acquainted with the Petry nets in order to apply them for description and analyses of control algorithms. The Moore and Milly automats and the methods of their synthesis in optimal basis are analyzed. Studying of various technological basis and comparative analyses of their possibilities guarantee the optimal selection for the engineering task realization. DESCRIPTION OF THE COURSE : The main topics concern: Object and place of the logical control in the general theory of control; Analytical description of the logical functions – Boolean Algebra, Logical gates combination and realisation of different logical functions, normal forms, functionally complete set; Minimization methods; Elements of the Graph Theory; ALU, counters, flip-flops, gates, latches, multiplexers, comparators. Petry nets – essence, ways of description, methods of analyzing the properties, minimization and verification; synthesis of the Moore and Milly automats on different basis; Programmable matrixes; Syntheses methods of synchronous and asynchronous type automat in different ways; Logical control devices based on programmable controllers. Software tools and languages- MATLAB, SIMULINK, Pnets, INA, Modelsim etc. PREREQUISITES : Mathematics, Control Theory, Programming and Computer Application, Pulse and Digital Circuit Technique. TEACHING METHODS : Lectures, using case studies and laboratory exercises. METHOD OF ASSESSMENT: Continuous assessment. Two two-hour assessments at mid and end of semester (80%) and laboratory reports defense (20%). INSTRUCTION LANGUAGE: Bulgarian. BIBLIOGRAPHY: 1. Кр. Нанчева - Филипова, Автоматни модели, ТУ-София, 2000. 2. Rozenberg G., Agha G., and Cindio F., "Concurrent Object-Oriented Programming and Petri Nets", Springer-Verlag, Berlin, 2001.3. Питерсон Дж.,Теория сетей Петри и моделирование систем, Мир, 1984,4. Frey G., Design and formal Analysis of Petri Net based Logic Control Algorithms, Kaiserslautern, 2002, 5. St. Brown,Z.Vranesic, DIGITAL LOGIC WITH VHDL DESIGN, ISBN 0-07-246085-7, McGraw-Hill,2005;6. V.G. Oklobdzija, Digital Design and Fabrication, Digital Systems and Applications, ISBN 978-0-8493-8602-2, 2008, Taylor & Francis Group, Texas.

DESCRIPTION OF THE COURSE Name of the course: Analogue Electronic Measurement Instruments



Lessons per week: L – 2 hours; LW – 2 hours

Number of credits: 5

LECTURER: Assoc. Prof. Ph.D. E. Yankov (FA) – tel.: 965 33 83

Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for the students specialty Automation, Information and Control Engineering, BEng programme, Faculty of Automation.

AIMS AND OBJECTIVES OF THE COURSE: The aim of the course is to provide contemporary knowledge on the principles, theory, circuits and metrological analyses of analogue electronic measurement instruments and transducers

DESCRIPTION OF THE COURSE: The course includes basic working principles, theory, schemes, design, metrological analyses of analogue electronic measurement instruments for electrical quantities – voltage, current, power, faze shift, power factor, frequency, time delay and their special blocks and components – instrumentation amplifiers, generators, transducers of electrical to electrical quantities.

PREREQUISITES: The course is based on Electrical Engineering Theory, Electric Measurements, Analogue Electronic Measurement Instruments.

TEACHING METHODS: lectures, laboratory work

METHOD OF ASSESSMENT: Written Exam

INSTRUCTION LANGUAGE: Bulgarian

BIBLIOGRAPHY: 1. Станчев, И. Б. "Електронни аналогови средства за измерване", Издателство на ТУ, С., 1994 г. 2. Станчев, И. Б., И. А. Куртев, Д. А. Самоковлийски, И. Н. Иванов и Е. А. Янков "Електронни измервателни уреди (аналогови)", ръководство за лабораторни упражнения, Издателство на ВМЕИ, 1978 г.


Name of the course: Building Automation


Type of teaching: Lectures, Laboratory work, Course Assignment



LECTURER:

Assoc. Prof. Ph.D. Eng. Todor S. Ionkov (FA) – tel: 965 2950, email:[email protected] Technical University of Sofia

COURSE STATUS ON THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia.

AIMS AND OBJECTIVES OF THE COURSE: The course "Building automation" gives knowledge of automation processes, mechanisms and machinery in modern buildings.

DESCRIPTION OF THE COURSE: Using of hardware and software tools for creating highly automated buildings. Students receive practical knowledge in the choice of technical means for automation and methods of implementation of management programs and integrated building control. Laboratory exercises are conducted on 4 similar stands, which can be carried out in laboratory conditions, different types of managed processes. In the implementation of management using real sensors, actuators and control devices - controllers, which implement advanced systems for building automation. Course work targets the creation of student skills in self-design, tuning and simulation of a subsystem of building automation systems.

PREREQUISITES: The course is based on “Electromechanical Devices”, “Control theory”, “Measurement of non-electric Quantities”, “Control of electromechanical systems”, “Technical devices of automation”, “Logical control of electromechanical systems”.

TEACHING METHODS: Thee forms are used: Lectures, Laboratory works on physical and computerised models and course work for every student. Written materials on the laboratory works are handed up to the students.

METHOD OF ASSESSMENT: A written exam in the end of VII semester is carried out.


BIBLIOGRAPHY: 1.Per-Goran Person, William Morton, Control Handbook HVAC Systems, Malmo, Sweden,1994; 2. Волов Г.Я., Моделирование работы систем отопления, вентиляции и теплоснабжения – теоретические основы, Минск, Энерговент, 2007; 3. Фальков, А.И., Д. В. Сузан, Что такое LON – краткий обзор технологии LonWorks, Москва, 2006; 4. TAC Menta, Technical Manual, TAC AB, Sep 2007, www.tac.com; 5. TAC Vista Webstation, Operating Manual, TAC AB, Sep 2007, www.tac.com.

DESCRIPTION OF THE COURSE Name of the course: Process Modelling and Optimization





LECTURER:

Ass. Prof. Ph.D. Alexander Efremov (FA) – tel.965-2944, email: [email protected] Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia.

AIMS AND OBJECTIVES OF THE COURSE: Introduce the classical methods for process statics and dynamics theoretical modelling as related to industrial process control systems. To give knowledge about the methods and practice of process optimization.

DESCRIPTION OF THE COURSE: The main topics include: process statics and dynamics theoretical modelling; modelling using the preservation principle; models of continuous processes using analogy; models of discrete processes; models of conveyor processing and assembly lines; criteria for single-variable optimization; methods for single-variable optimization - search and gradient methods; comparison of methods for single-variable optimization; criteria for multivariable optimization; methods for multivariable optimization - search and gradient methods; comparison of methods for multivariable optimization; optimization of multi-stage processes – dynamic programming; multi-criterial optimization methods.

PREREQUISITES: Physics, Technical Mechanics, Control Theory, Control Instrumentation, Systems Identification, Process Control Automation.

TEACHING METHODS: Lectures with slides, case studies, course work, laboratory work with laboratory manual, work in teams, protocols preparation and defense.

METHOD OF ASSESSMENT: One three-hour examination at the end of semester (80%) plus laboratories (20%).

INSTRUCTION LANGUAGE: Bulgarian.

BIBLIOGRAPHY: 1.Джиев, Ст. Моделиране и оптимизация на процеси, ТУ, София, 2001. 2.Живков, Д., Моделиране и оптимизация на производствени процеси, ТУ, София, 1989. 3.Реклейтис, Г., А. Рейвиндран, К. Рагсдейл, Оптимизация в технике, М., Мир, 1986. (прев. англ.). 4.Вучков, И., С.Стоянов, Математическо моделиране и оптимизация на технологични обекти, С., Техника, 1986. 5.Стоянов, С., Оптимизация на технологични обекти, С., Техника, 1993. 6.Сотиров Г., С. Филипова, Дискретно събитийни системи - Методически указания за лабораторни упражнения. Изд. на ТУ-София .


Name of the course: Biotechnological Measurements





LECTURER:

Assoc. Prof. Ph.D. Dimitar Nenov (FA), tel.: 965 3927, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important knowledge of the information and metrological assurance of the biotechnological processes with different methods and equipments for direct and indirect measurement of the variables and methods of data processing.

DESCRIPTION OF THE COURSE:

The aim of the course “Biotechnological measurements” is to teach the students the most important knowledge of the information and metrological assurance of the biotechnological processes with different methods and equipments for direct and indirect measurement of the variables and methods of data processing.

PREREQUISITES: Bioelectrical Engineering Fundamentals, Electrical engineering, Electrical measurements.

TEACHING METHODS: Classical lectures with visual aids. Laboratory works using laboratory manuals. Each student prepares a protocol for his laboratory work. Protocols are checked and estimated by the lecturer. Multimedia projector for lectures. Special laboratory equipment for laboratory works. Computers for process modelling.

METHOD OF ASSESSMENT: Written examination. Laboratory works assessment is also taken into account


BIBLIOGRAPHY: 1. Neykov A. A., Biotechnological Measurement and Control, Sofia, TU – Sofia, (textbook), 1990; 2. Neykov A. A., Radonov K., Djambasis K., Walewski, Methods, Algorithms and Equipments for Measurement and Control in Biotechnology, Sofia, Technika, 1992; 3. Neykov A. A., Djambasis K., Krastev K., Laboratory Exercisers of Biotechnological Measurement and Control, Sofia, TU – Sofia (textbook) 1988; 4. Bailey J. E. D. F. Ollis, Biochemical Engineering Fundamentals, vol. 1., vol. 2., Mir, Moscow, 1989.


Name of the course: Artificial Intelligence





LECTURER:

Assoc. Prof. Ph.D. Dimitar Dimitrov (FA), tel. 965 3417, email: [email protected], Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: Understanding the essential principles of intelligent behaviour, corresponding computational algorithms, and ideas for building practical applications of intelligent systems. Getting working knowledge and skills in knowledge representation, reasoning, and architectures to design simple intelligent agents for diagnostic, decision support and control systems.

DESCRIPTION OF THE COURSE: This is an introductory course. The field of Artificial Intelligence (AI) is presented as unified field from the perspective of rational behaviour. Both approaches to AI - the symbolic (logical) and the behavioural (numerical) are presented as complementary (not contradictory). The main covered topics include: Intelligent agents, environments and behaviours. Principle of rationality, rational reasoning and rational acting. Formal logic methods for knowledge representation and reasoning in intelligent systems. Problem solving by searching – informed and heuristic search methods. Acting logically – planning methods. Learning. Uncertain knowledge and reasoning. Robotics and AI – intelligent connection of perception to action. Outputs: other special disciplines and diploma project.

PREREQUISITES: Mathematics , Computer Programming Application, Logic Modelling and Programming.

TEACHING METHODS: The basic didactic approach is “understanding trough implementation”. Lectures using multimedia presentations, slides, set of prototype computer programme handouts, laboratory and homework, work in teams and discussions. The laboratory and course work is provided with the supporting programming language Prolog.

METHOD OF ASSESSMENT: One three-hours final exam (65%), plus laboratories (10%) plus course work (20%), plus class attendance, accuracy, etc. (5%).


BIBLIOGRAPHY: 1.Димитров, Д.Н. Никовски. Изкуствен интелект – второ преработено издание. ISBN 954-438-252-6. Изд.ТУ - София, 1999. 2. S. Russel. P. Norvig. Artificial Intelelgence. Prentice Hall, 2003. 3. Е. Чарнияк, Д. МакДермот. Въведение в изкуствения интелект. София, 1997. 4. Shapiro Enciclopedia of Artificial Intelligence. Wiley, New York, Two volumes, 1992. 5. N. Rowe. Artificial Intelligence throw Prolog. Prentice-Hall Int. Inc., 1990. 6. M. R. Genesereth, N. J. Nilsson. Logical Foundations of Artificial Intelligence. Morgan Kaufman Publ. Inc., 1987.

List OS5 (BAICE44–EСТS 5)

L5O1 Data and Signal Processing L5O2 Electronic Measurements Transducers L5O3 Analysis and Recognition of Images and Scenes L5O4 Low-Cost Industrial Control Systems L5O5 Data Analysis of Biotechnology Processes L5O6 Control of Robots and Robotic Systems


Name of the course: Data and Signal Processing


Type of teaching: Lectures, Laboratory exercises

Lessons per week: L –2 hours LW – 2 hours


LECTURER: Ass. Prof. G. Ruzhekov PhD, tel.: 965 24 70, email: [email protected]


COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: The main aim of the course is to get students familiar with the methods of digital signal and data processing, as well as the special features and applications of the signal processors. DESCRIPTION OF THE COURSE: Described are the analogue to digital and digital to analogue converters and their characteristics, the signal processors and the system based on them and their advantages compared to ordinary systems. Attention of the course is mostly directed to processing of digital signals in time and frequency domain and its applications. Discussed are the connections between the characteristics of signals on the time and frequency domain and some typical applications of the methods of signal processing. PREREQUISITES: Control Theory, Electrical Engineering Theory, Pulse and Digital Circuit Technique, Programming and Computer Application, Physics, Mathematics. TEACHING METHODS: Lectures, using slides, laboratory and course work, work in teams, reports and course work description preparation and defence. METHOD OF ASSESSMENT: Written final examination, including solving problems (60%); laboratory reports defence (40%). INSTRUCTION LANGUAGE: Bulgarian language. BIBLIOGRAPHY: 1. Ruzhekov G., Signal and Data processing, TU-Sofia, 2004. Ivanov R., Digital processing of the one-dimensional signals, Gabrovo, 2002., 3. Ifeachor E, B. Jerrvils, Digital Signal Processing – A practical Approach, Addison-Wesley Publishing Company 1993. 4. Ruzhekov G., Laboratory experiments of the digital signal processing with the digital signal processing, TU-Sofia, 1998.

DESCRIPTION OF THE COURSE Name of the course: Electronic Measurements Transducers


Type of teaching: Lectures and Laboratory work



LECTURER: Assoc. Prof. Ph.D. P. Tzvetkov (FA) – tel.965 2382, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: To provide fundamental theoretical and practical knowledge of modern electronics measurement instruments.

DESCRIPTION OF THE COURSE: The main topics concern electronic measurement systems and transducers. An essential part is devoted to the modulation transducers, non-linearity measurement transducers, programmable measurement amplifiers and reference time period, reference current and voltage sources. PREREQUISITES: Mathematics, Electrical Engineering Theory. TEACHING METHODS: Lectures, using slides, case studies, computer demonstrations, laboratory work from laboratory manual, work in teams, protocols preparation and defence.

METHOD OF ASSESSMENT: A two-hour exam (total mark 80%: 40% problems + 40% theory) plus laboratories (total 20%) INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Йорданова С., П. Цветков. Приложно моделиране и симулиране. София, Heron Press Math Series, 2001, 92, ISBN 954-580-105-0. 2. Самоковлийски, А. Нейков, И. Коджабашев, Измервателни преобразуватели- лабораторни упражнения, София, Издателство на ТУ-София, 1980, 82. 3. Самоковлийски Д. Електрически измервателни преобразуватели. София, Издателство на ТУ-София, 1984, 95. 4. Станчев, И., Електронни аналогови измервателни преобразуватели (проблеми от теорията и метрологичното осигуряване в етапа на проектиране), София, Издателство на ТУ, 1992, 256.


Name of the course: Analysis and Recognition of Patterns and Scenes


Type of teaching: Lectures, Laboratory work

Lessons per week: L – 2 hours; LW – 1.5 hours


LECTURER: Assoc. Prof. Ph.D. Pencho Venkov (FA) – tel.: 965 37 35, email: [email protected].



AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to design and apply software modules for pre-treatment, analysis and recognition of objects in the environment of robots;

DESCRIPTION OF THE COURSE: The main topics concern: Methods and algorithms for pre-treatment of grey level and RGB images; Analysis and segmentation of images based on homogeneous blobs – structural-parametrical models of 2D scenes; Contour strategy for analysis and segmentation of scenes; Mathematical and statistical rules for pattern recognition; Active Vision - model guided analysis and recognition of objects in the environment of robots. PREREQUISITES: Programming and Computer Application, Mathematics. TEACHING METHODS: Lectures, using slides and case studies, laboratory work with computer vision systems, research and demo-programs for image processing and analysis; METHOD OF ASSESSMENT: Four hours writing examination in the session. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. 1.Венков П., Анализ и разпознаване на изображения и сцени, Изд. Т.У.-София, 1997; 2.Horaud R.,O.Monga, Vision par ordinateur – outils fondamentaux, Hermes, Paris, 1993; 3.Ballard d., C.Broun, Computer Vision, Prentice Hall, 1982. 4. Пъю А., Техническое зрение роботов, Москва, Машиностроение, 1987.

DESCRIPTION OF THE COURSE Name of the course: Low-cost Automation Systems





LECTURER:

Ass. Prof. Ph.D. Stanislav Enev (FA) – tel.965 2942 , еmail: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To study the wide spread industrial systems, aggregates, installations and technology applications to distributed systems, dynamical systems from engineering (electrical, thermal, hydraulic, mechanical, control) etc. Basic structures, optimization and effectiveness of production are concern. At the end of the course the students are expected to be able to apply the methodology for investigation of continuous, discrete time and discrete-event processes and systems in the field of industry based on low-cost components, and to have basic knowledge and skills in using software, making decision on structure, components for building reliable automation systems models in real live industrial systems.

DESCRIPTION OF THE COURSE: The main topics concern: industrial technology for thermal heating exchange, mass exchange, electrical, hydraulic, mechanical, process control systems, basic structure, effectiveness measurable criteria for optimization. With solid laboratory support the technology (natural physics-chemical) aspect of problems is clearly demonstrate. The knowledge received in this course via systematic training with real technology is giving the students rational thinking about problems in industry.

PREREQUISITES: Control Theory, System Identification, Process Control, Control Instrumentation , Physics, Technical Mechanics, Electrical Measurements.

TEACHING METHODS: Lectures, using slides, case studies, laboratory work from laboratory manual, work in teams, protocols preparation and defence.

METHOD OF ASSESSMENT: Two hours assessments at end of semester


BIBLIOGRAPHY: 1.Наплатаров К. Х. Промишлени системи за нискостойностна автоматизация. /Под печат/. 2.Хаджийски М. Б. Автоматизация на технологични процеси в химичната и металургичната промишленост., С., Техника 1988. 3.Мумджиян Г. С. Автоматично управление и регулиране на топлинни процеси., С., Техника, 1987. 4.Фархи О. А., А. М. Тодоров, Е. К .Николов. Промишлени системи за автоматизация., ВМЕИ, Варна, 1989. 5.Хаджийски М. Б., К. Д. Велев, Г. Р. Сотиров, И. Г. Калайков. Методи и алгоритми за управление. С. Техника, 1992.


Name of the course: Data Analysis of Biotechnology Processes





LECTURERS:

Assoc. Prof. Ph.D. Alexander Ratkov, phone: 870 00 97, email: [email protected] Institute of Microbiology, Bulgarian Academy of Science, Bulgaria


AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important methods of the data analysis of the biotechnological processes: experimental design, regression analysis and analysis of variance.

DESCRIPTION OF THE COURSE: The biotechnology is multi – branch science. This is a reason to introduce the knowledge of the students in the area of the data analysis of the biotechnological processes. The main topics concern primary data processing, experimental design, linear and non-linear regression methods, stepwise regression, ridge regression and analysis of variance

PREREQUISITES: Bioelectrical Engineering Fundamentals, Fermentation Technologies, Biotechnological Measurements, System Identification.

TEACHING METHODS: Classical lectures with visual aids. Laboratory works using laboratory manuals. Each student prepares a protocol for his laboratory work. Protocols are checked and estimated by the lecturer. Multimedia projector for lectures. Special laboratory equipment for laboratory works. Computers for process modelling

METHOD OF ASSESSMENT: Written examination. Laboratory works assessment is also taken into account.


BIBLIOGRAPHY: 1. Birukov W. W., W. M. Kantare, Optimisation of the Batch Processes for Microbial Synthesis, Moscow, Nauka, 1985 2. Bojanov E, I. Wuchkov, Statistical inferences in Enterprises and Scientific Investigations, Technika, Sofia, 1970; 3. Wuchkov I, Experimental Investigations and Identification, Sofia, Technika, 1990; 4. Daniel K., Application of the Statistics in Industrial Ezperiments, Mir, Moscow,1979; 5. Draper N. R., Smith H., Applied Regression Analysis, Moscow, vol. 1, vol. 2, Finansi I Statistika, 1986; 6. Staniskis J., Optimal Control of Biotechnological Processes, Vilnius, Mokslas, 1984; 7. Hartman K., E Letckii, W. Shefer, Experimental Design in Investigation of Technological Processes, Moscow, Mir, 1977.


Name of the course: Control of Robots and Robotic Systems





LECTURER:

Assoc. Prof. Ph.D. Vassil Balavessov (FA) – tel.: 965 3073, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students should know the specific features of robots as control objects and they are expected to be able to solve engineering problems in planning and control of motions, as well as to analyze and investigate robot performance through modelling and simulation.

DESCRIPTION OF THE COURSE: Modern methods for control of robots and robotic systems are studied. Special attention is paid to the problems of the planning and the control of smooth joint and world trajectories. Main accent is put on control and stabilization of a priori planned robotic motions, including robust stabilization design and computational aspects. The main topics concern: Planning of robotic motions: in joint and Cartesian coordinates; Design of robots trajectories by Bezier curves; Kinematic control of robots; Pseudo inversion and its applications; Dynamic modelling of manipulation systems; Non-linear control methods: stability and practical issues; Robot force control; Impedance control; Robot motion modelling and simulation.

PREREQUISITES: Control Theory, Electrical Engineering Theory, Mechanics, Robotic Manipulators, Information and Sensor Systems in Robotics.

TEACHING METHODS: Lectures using transparencies and multimedia, laboratory exercises using computer simulations, operational robot and robotized machining center.

METHOD OF ASSESSMENT: Open book written examination during the session.


BIBLIOGRAPHY: 1 Fu K.S., Gonzalez R. C., Lee C. S. G. Robotics: Control, Sensing, Vision and Intelligence, McGraw–Hill,. NY, 1989 (a Russian translation is available). 2 Shahinpoor, M. A Robot Engineering Textbook, Harper&Row, NY,1990 (a Russian translation is available). 3 Zamanov W., Karastoianov D., Sotirov. Z., Mechanics and control of robots, Sofia, 1993 (in Bulgarian). 4 Asada H. and Slotine J.-J.E. Robot Analysis and Control, A Wiley-Interscience Publication, New York, 1986. 5 Craig J. J. Introduction to Robotics: Mechanics & Control, Addison Wesley , Reading, Mass, 1986. 6 The ZODIAC, Theory of Robot Control, C. C. de Wit, B. Siciliano, and G. Basten (Eds), Springer-Verlag, 1996. 7. Paul R.P. Robot Manipulators: Mathematics, Programming and Control, MIT Press, Cambridge, Mass., 1981.

List OS6 (BAICE45– EСТS 5)

L6O1 Engineering Methods for Nonlinear Syst. Analysis L6O2 Electromagn. Compatib.of Measurem. and Control L6O3 Control Systems of Electric Drives L6O4 Switching Logic Control L6O5 Control Systems for Biotechnological Enterprises L6O6 Building Automation

DESCRIPTION OF THE COURSE Name of the course: Engineering Methods for Nonlinear Systems Analysis


Type of teaching: Lectures and Laboratory work



LECTURER: Assoc. Prof. Elena Haralanova, PhD, tel.: 965-2526, email: [email protected] Assoc. Prof. Kamen Perev, PhD, tel.: 965-2524, email: [email protected] COURSE STATUS IN THE CURRICULUM: Optional for students from the Bachelor degree program in Automation, Information and Control Engineering at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: The goal of this course is to present the basic models and methods for analysis and design of nonlinear systems. DESCRIPTION OF THE COURSE: The course considers the main nonlinear system models for exploring the specific nonlinear phenomena like limit cycles, more than one equilibriums points, dependence on initial conditions and the input signals type, different types of stability and many others. Both, the analytic methods for system analysis, as well as more applied approaches using different types of linearization are presented. For the purpose of nonlinear system simulation, the course offers an introduction to the numerical procedures for solving nonlinear differential equations. The main methods for nonlinear systems design are also discussed. PREREQUISITES: “Calculus I, II and III”, “Theoretical Electrical Engineering I and II”, “Control Theory I and II”, “Linear systems engineering methods”. TEACHING METHODS: Class lectures and laboratory experiments. The laboratory experiments are performed by using the software package of MATLAB.

METHOD OF ASSESSMENT: Written final examination and laboratory reports defense. INSTRUCTION LANGUAGE: Bulgarian language . BIBLIOGRAPHY: 1. Ishtev, K., Automatic control theory, King Publ., 2000. 2. Slotine, J., W. Li, Applied nonlinear control, Prentice Hall, 1991. 3. Geldner, K., S. Kubik, Nonlinear control, systems, Mir, 1987.

DESCRIPTION OF THE COURSE Name of the course Electromagnetic Compatibility in Measurements and Control





LECTURER: Prof. Dr. A. Lazarov, (FA) tel. 965 24 64 email: [email protected]

Technical University of Sofia COURSE STATUS IN THE CURRICULUM: Optional for the students specialty Automation, Information and Control Engineering, BEng programme, Faculty of Automation.

DESCRIPTION OF THE COURSE: Basic aspects of EMC and thesaurus; Electromagnetic Environment; Planning of the EMC measurements; Electromagnetic disturbances in the mains; Electromagnetic disturbances in the information and control lines; Frequency analysis of the parasitic connections; EMC design: level of elements, PCB level, level of assembling and cabling, level of systems; Grounding; Shielding; Disturbance suppressing elements and circuits; Electrostatic discharge; EMC regulation; Design and analysis of active filters by PSpice. PREREQUISITES: Knowledge about: Electrical Engineering, Electronics, Electrical Measurements is required.

TEACHING METHODS: Lectures using a multi-media system. Laboratories using PSpice for simulation and analysis of passive and active filters.

METHOD OF ASSESSMENT: Test of laboratories (20%) . Written exam (*)%). The final mark is formed by a system of points including the exam results - question by question, laboratories evaluation, activity in class, attendance. INSTRUCTION LANGUAGE: Bulgarian

RECOMMENDED LITERATURE: (1) A. Lazarov, Electromagnetic Compatibility in measurements and control, Technical University of Sofia, 2004, ISBN 954-438-381-6.

(2) A. Lazarov, Measuring Electromagnetic Compatibility, Avangard Prima, 2004,

ISBN 954-323-009-9.

(3) European Directive 2004/108/EC on Electromagnetic Compatibility (methodical guidance), Technical University of Sofia, 2004, ISBN 954-438-380-8.

DESCRIPTION OF THE COURSE Name of the course: Control Systems of Electric Drives





LECTURER:

Assoc. Prof. Ph.D. Mikho R. Mikhov (FA), tel.: 965-29-46, E-mail: [email protected] Technical University of Sofia.


AIMS AND OBJECTIVES OF THE COURSE: To learn the design principles of main types of electric drive control systems. To develop understanding about the specific optimization methods of the respective control loops.

DESCRIPTION OF THE COURSE: Major topics covered: optimization and tuning of control loops in electric drive systems; cascade control structures; torque control systems; speed control systems; control of electric drives with elastic joints; vector control of induction motors; vector control of synchronous motors; position control systems; tracking control systems.

PREREQUISITES: Electromechanical Devices, Power Electronics in the Electric Drives, Control of Electromechanical Systems, Control Theory.

TEACHING METHODS: Lectures, illustrated by visual materials; laboratory work using real and computer models of the studied electric drive control systems.

METOD OF ASSESSMENT: Written exam.


BIBLIOGRAPHY: 1. Mikhov M. R. Control Systems of Electric Drives (Lecture Notes). Techni-cal University of Sofia, 2005; 2. Leonard W. Control of electrical drives. ”Springer-Verlag“, Berlin, 1990; 3. O'Kelly D. Performance and control of electrical machines. ”Cambridge University Press“, Cambridge, 1991; 4. Boldea, I., S. A. Nasar, Electric drives, “CRC Press”, Boca Raton, 1999.

DESCRIPTION OF THE COURSE Name of the course: Switching Logic Control





LECTURER:

Assoc. Prof. Ph.D. A. Todorov (FA), tel.: 965-3405, email: [email protected] Assist. Prof. B. Gueorgiev (FA), tel.: 965-2944, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to apply the methodology for investigation, analysis and design of continuous, discrete time and discrete-event processes and systems in the field of industry, management and service, and to have basic knowledge and skills in using mathematical logic, Boolean algebra to construct fail-safe, reliable control systems

DESCRIPTION OF THE COURSE: The main topics concern:, dynamical systems from engineering (electrical, thermal, hydraulic, mechanical, control, etc. Modelling of discrete, discrete event and queuing systems using finite automata – characteristics, statistical analysis, probability distributions. Timed synchronous, asynchronous automata, Switched logic, Programmable Logical controllers. Case studies of simulation-based, design and control.

PREREQUISITES: Mathematics, Control Theory, Identification, Process Control Automation, Electrical Measurements, Control Instrumentation.


METHOD OF ASSESSMENT: Three-hour exam (80 %), laboratory work presentation (10 %), class-work test assessments (10 %).


BIBLIOGRAPHY: Горбатов В. А и др., Логическое управление технологическими процессами, М, Энергия, 1978 2.Кисьов В. Техническа кибернетика, том IX, Теория на крайните автомати, С., Техника, 1984 3.Хаскел Б. К., Основания математической логики, М., Мир, 1969 4.Ачасова С. М., Алгоритмы синтеза автоматов, М., Радио и связь, 1987 5.Владимиров Д. А. Булевы алгебры, М., Наука, 1969 6.Горбатов В. А. и др., САПР - систем логического управления, М., Энергоатомиздат, 1988.

DESCRIPTION OF THE COURSE Name of the course: Control Systems for Biotechnological Enterprises





LECTURERS:

Assoc. Prof. Ph.D. Stoyan Nedelchev Stoynov (FA) – tel.: 965 3927, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important principals, methods, organisation, and building of the computer control systems. Special knowledge about hardware and software equipment of the computer control systems is given.

DESCRIPTION OF THE COURSE: The main topics concern the basic functions and tasks, specific structural and architecture behaviours of the computer control systems and its applications. The special knowledge about process interfaces and human interactive interfaces, and real time operating systems are discussed too. The individual student project based on this course includes: investigation of the real - life process, design of some details of the computer control system equipment, and software design.

PREREQUISITES: Semiconductor Elements, Bioelectrical Engineering Fundamentals, Electrical Engineering Theory, Fermentation Technologies, Biotechnological Measurements, System Identification.

TEACHING METHODS: Classical lectures with visual aids. Laboratory works using laboratory manuals. Each student prepares a protocol for his laboratory work. Protocols are checked and estimated by the lecturer.



BIBLIOGRAPHY: 1. Harrison T., Handbook of Control Computers, Mir, Moscow, 1975, 2. Tzonkov St. at. all Control of Biotechnological Processes, Technika, Sofia, 1992; 3. Fritch W. , Application of the Microprocessors in Control Systems, Mir, Moscow, 1984; 4. Popovic D and V.P. Bhatkar, Distributed Computer Control for Industrial Automation, Marcel Dekker, Inc. 1990; 5. Tomov I., at all Micriprocessors Control Systems, Technika, Sofia, 1986.


Name of the course: Building Automation





LECTURER:



AIMS AND OBJECTIVES OF THE COURSE: The course "Building automation" gives knowledge of automation processes, mechanisms and machinery in modern buildings.

DESCRIPTION OF THE COURSE: Using of hardware and software tools for creating highly automated buildings. Students receive practical knowledge in the choice of technical means for automation and methods of implementation of management programs and integrated building control. Laboratory exercises are conducted on 4 similar stands, which can be carried out in laboratory conditions, different types of managed processes. In the implementation of management using real sensors, actuators and control devices - controllers, which implement advanced systems for building automation. Course work targets the creation of student skills in self-design, tuning and simulation of a subsystem of building automation systems.

PREREQUISITES: The course is based on “Electromechanical Devices”, “Control theory”, “Measurement of non-electric Quantities”, “Control of electromechanical systems”, “Technical devices of automation”, “Logical control of electromechanical systems”.

TEACHING METHODS: Thee forms are used: Lectures, Laboratory works on physical and computerised models and course work for every student. Written materials on the laboratory works are handed up to the students.



BIBLIOGRAPHY: 1.Per-Goran Person, William Morton, Control Handbook HVAC Systems, Malmo, Sweden,1994; 2. Волов Г.Я., Моделирование работы систем отопления, вентиляции и теплоснабжения – теоретические основы, Минск, Энерговент, 2007; 3. Фальков, А.И., Д. В. Сузан, Что такое LON – краткий обзор технологии LonWorks, Москва, 2006; 4. TAC Menta, Technical Manual, TAC AB, Sep 2007, www.tac.com; 5. TAC Vista Webstation, Operating Manual, TAC AB, Sep 2007, www.tac.com.


L7O1 Industrial Control Systems L7O2 Quality Control L7O3 Control Electronics in Electro-mechanics L7O4 Human-Machine Control Systems L7O5 Bioelectronics L7O6 Servo control and Drives of Robots


Name of the course: Industrial Control Systems

Code: BAICE46

Semester: 7




LECTURER:

Ass. Prof. G. Ruzhekov PhD, tel.: 965 24 70, email: [email protected] Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to choose the components of industrial control system (controllers, sensors, actuators and etc.), to develop programs for programmable logical controllers (PLC).

DESCRIPTION OF THE COURSE: The main topics concern: Structure of the industrial control systems; Programmable logical controllers (PLC), periphery, interfaces, applications; Decentralized control systems, Program languages; Control algorithms; Human – machine interface; Sensors and actuators. PREREQUISITES: Mathematics, Electrical engineering, Electrical measurement, Electronics, Control Theory, System Identification. TEACHING METHODS: Lectures are delivered with the support of slides. Laboratory exercises are performed using Programmable Logical Controllers. METHOD OF ASSESSMENT: Continuous assessment. Two two-hour assessments at mid and end of semester (60%), laboratory reports defence (40%). INSTRUCTION LANGUAGE: Bulgarian. BIBLIOGRAPHY: 1. Berger, Hans, Automating With STEP7 In STL And SCL: Programmable Controllers; 2.Simatic S7-300-400, John Wiley and Sons Ltd, 2005; 3.Berger, Hans, Automating with STEP7 in LAD and FDB: SIMATIC S7-300/400; 4.Programmable Controllers, John Wiley and Sons Ltd, 2001; 5.Muller, Jurgen, Controlling with SIMATIC, Publics Corporate Publishing, 2005; 6. Gross, Hans, J. Hamann, G. Wiegartner, Electrical Feed Drives in Automation, Publics Corporate Publishing, 2001.

DESCRIPTION OF THE COURSE Name of the course: Quality Control



Lessons per week: L – 2 hours, LW – 2 hours


LECTURER: Assist. Prof. Ph.D. Radoslav Deliyski (FA), tel.: 965 34 65, еmail: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: To give knowledge about use of techniques to achieve, sustain, and improve the quality of a product or service. It involves integrating the following related techniques and activities – specifications, design of the product or service to meet the specifications, production or installation to meet the full intent of the specifications.

DESCRIPTION OF THE COURSE: The course treats the Quality Control basic principles and international systems for Quality Control. The theory of probability and statistics, which is used in the various methods for Quality Control, are discussed. The basic experimental methods and techniques for evaluation of quality are treated.

PREREQUISITES: Knowledge and skills in Electrical Measurements and Metrology.

TEACHING METHODS: Lectures are complemented with subsidiary materials and tutorials. Students prepare individual reports for laboratory works. METHOD OF ASSESSMENT: Continuous assessment. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Станчева В. Й., К. Я. Киров, Н. П. Стефанов. Управление на качеството. QM, Варна, 1995. 2. Besterfield, D., Quality Control, Prentice Hall, 1986. 3. Crosby, P., Quality js Free, McGraw-Hill Book Company, 1984. 4. Doming, W., Quality, Productivity, and Competitive Position, MIT, 1982. 5. Juran, J., Quality Control Handbook, MeGraw-Hill Book Company, 1974. 6. Hoyle, D., ISO - 9000 Quality Systems Handbook, Butterworth-Heinemann Ltd., 1994. 7. Управление на качеството, Карайков, ПБ на РУ “Ангел Кънчев”, Русе, 1998.

DESCRIPTION OF THE COURSE Name of the course: Control Electronics in Electromechanics


Type of teaching: Lectures and laboratory work



LECTURER:

Assoc. Prof. Ph.D. Todor S. Ionkov (FA) – tel: 965 2950, email:[email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: Students acquire indispensable knowledge on the use of current semiconductor converters. They also master new solution in this field and learn how to reach to their own solutions.

DESCRIPTION OF THE COURSE: Offers knowledge about: compilation of functional schemes for control of units and blocks of power semiconductor converters and unit realization of their functional blocks; firm specialized hybrid and integral schemes; realization of current and voltage control loops; schemes for protection and control, as well as the necessary linear models and their structural diagrams.

PREREQUISITES: Required knowledge in: Mathematics, Physics, Theoretical electrotechnics, Semiconductor elements, Impulse and digital devices, Electrical measurements, Electromechanical devices, Control theory, Industrial energetics.

TEACHING METHODS: The lectures include problems relating to compilation of scheme solution by pre-set aims, taking into account the existing equipment. The lecture material is supported by laboratory work with real physical experiments.

METHOD OF ASSESSMENT: Continuous assessment.


BIBLIOGRAPHY: 1. Андреев Ф.Ф., Электронные устройства автоматики и их расчет, М., Машиностроение, 1991.; 2. Записки; 3. Компактдискове от СИМЕНС – Германия, СЕМИКРОН – Германия, ТОМСЪН – Франция, ИНТЕРНЕШЪНЪЛ РЕКТИФАЙЪР – САЩ.

DESCRIPTION OF THE COURSE Name of the course: Man-machine Control Systems





LECTURER:

Assoc. Prof. Ph.D. Vassil Galabov (FA) – tel.965-2298, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To present human factor problems in automated systems.

DESCRIPTION OF THE COURSE: The key psycho-physiological characteristics of man’s receptor and effector channels are analyzed, as well as how the respective information processes take place. Students are to learn about various problems related to training and self-training, fatigue and compensatory mechanisms, stereotypes and creative behavior. Special emphasis is placed on various strategies and methods for man-machine problem solutions, delegation of managerial functions, design and implementation of respective interface systems.

PREREQUISITES: Computer simulation, Industrial Information Systems, Decision Making in Control Systems, Bioelectricalengineering Fundamentals, Biotechnological Measurements.


METHOD OF ASSESSMENT: Two one-hour assessments at mid and end of semester (total 72% - 40% problem + 32% theory) plus laboratories (total 28% - 14 assignments, each carrying 2%)


BIBLIOGRAPHY: 1. Гълъбов В. (2002), Човеко-машинни системи за управление., RADIX AcademicBooks, С., 2002; 2. Венда, В.Ф. Инженерная психология и синтез систем отображения информации. Машиностроение, 1982, М.; 3. Инженерная психология в применении к проектированию оборудвания. под ред. Клиффорд Т. Морган и др. Машиностроение, М., 1971; 4. Advances in Human-Computer Interaction; Springer Berlin, 1995; 5. Merzenich-Hieker, Carola: Empirischer Vergleich der Effizienz sequentieller und ganzheitlicher Trainingsmethoden beim Erwerb von Handlungswissen in der Mensch-Computer-Interaktion; Tectum, 1995; 6. Verlässlichkeit von Mensch-Maschine-Systemen; Technische Uni Berlin, 1995.


Name of the course: Bioelectronics





LECTURER:



AIMS AND OBJECTIVES OF THE COURSE: The aim is to teach the students the most important problems and application of the modern bioelectronics. The course builds classification of the bioelectronics systems from the molecular level to the level of the organisms. Students are thought the transformations of the physical and chemical influences to electrical signals by the appropriate biosensor transducers.

DESCRIPTION OF THE COURSE: The aim of the course “Bioelectronics” is to teach the students the most important problems and application of the modern bioelectronics. The course builds classification of the bioelectronics systems from the molecular level to the level of the organisms. Students are thought the transformations of the physical and chemical influences to electrical signals by the appropriate biosensor transducers. The main topics concern: specific physical fundamentals that are the basis of the design of bioelectrical devices, types and principles of the design. The classification of the biosensor systems is discussed in relation to possible sensitive elements, existent biosensors transducers: enzyme, microbial, tissue, receptor, et. The following modern tendencies are represented in this course: biochips, multi-sensors and integrated systems in the bioelectronics.

PREREQUISITES: Bioelectrical Engineering Fundamentals, Electrical Engineering Theory, Electrical Measurements.


METHOD OF ASSESSMENT: Continuous assessment. Laboratory works assessment is also taken into account


BIBLIOGRAPHY: 1. Ivanitcki G. R., Biotechniques – modern tendency of the computer science, “Theoretical and Applied Biophysic “, Moscow, Nauka, 1990; 2. Rambidy N. G., at. all , Molecular component base advanced information and logical devices, Edited by E. Taner, I. Karube, Jh. Willson, Moscow, Mir, 1992; 4. Molecular electronics - science and technology. Ari Aviram Ed., AIP-conference proceedings No262, American Institute of Phisics Publishing, New York, 1992; 5. Carter F.L., Molecular electronic devices. NewYork, Marcel Dekker Inc.,1982; 6. Molecular electronics: beyond the silicon chip. Emerging Technologies No.9, Technical insights, 1983; 7. Enzyme and Microbial Biosensors. Ed. By A. Mulchandani, K.R. Rogers. Humana Press, 1998.


Name of the course: Servo Control and Drives of Robots





LECTURER:

Assoc. Prof. Ph.D. Todor Ionkov (FA) – tel: 965 2950, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: The purpose of the course is to give knowledge about the functions, methods of control and electrical circuits of the electrical drives, which are used in the robotics systems. The students obtained skills in the field of design, adjustment and selection of ready-made electrical drive for robots.

DESCRIPTION OF THE COURSE: The main subject of the course is related to power electronic circuits for electrical drives, influence of the clearances, dry friction coefficient, elasticity and variable inertial moments over the electrical drive system of robots. Analysis and design of electrical and mechanical control systems for current, voltage, torque, speed, acceleration and distance are taught. A lot of electrical control circuits are discussed, concerning servo-drives and their relation to the movement quality. Stress is made over the adaptive servo-systems. Some pneumatic and hydro drives are commented too.

PREREQUISITES: Required knowledge in: Electromechanical Devices, Control Theory, Pulse and Digital Circuit Technique, Electromechanical Systems Control.

TEACHING METHODS: The lectures include problems relating to compilation of scheme solution by pre-set aims, taking into account the existing equipment. The lecture material is supported by laboratory work with real physical experiments.

METOD OF ASSESSMENT: Continuous assessment.


BIBLIOGRAPHY: 1. Башарин А.В. Управление электроприводами, Энергоиздат, М., 1982; 2. Ключев В.И., Теория на електрозадвижването, Техника, С., 1989.; 3. Werner Leonard, Control of Electrical Drives, Ed, Springer, 1996; 4. Слежановский О.В. и др. Системы подчиненного регулирования электроприводов переменного тока с вентильными преобразователями, Энергоатомиздат, М., 1983.; 5. B.K.Bose, Power Electronics and AC Drives, Prentice – Hall, Englewood Clifts N, J, 1986.


L8O1 Computer Control Systems L8O2 Programming for Measurement devices L8O3 Computer Monitoring and Control L8O4 Decision Making in Control Systems L8O5 Analysis and Processing of Biosignals L8O6 Mechatronics and Mechanisms in Automation


Name of the course: Computer Control Systems



Lessons per week: L – 2 hours LW – 2 hour


LECTURER:

Associate Prof. Ivan Evgeniev PhD (ФА) – phone.: 965 2041, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: This course introduces basic knowledge on modern computer control systems including embedded and stand-alone controllers, multi-level control systems, and basis of formal design methods and real-time operating systems.

DESCRIPTION OF THE COURSE: The main topics concern: Control system’s logical architecture; Organization and architecture of embedded and stand-alone controllers; software and algorithms for control systems; Programmable- and State-logic controllers; Input and Output subsystems for control systems; Human-machine interactions; Basics of real-time operating systems; Basics of industrial real-time networks; Formal methods for design of single and distributed control systems.

PREREQUISITES: Programming and Computer Application, Pulse and Digital Circuit Technique, Microprocessor Architecture, Control Instrumentation, Digital Control Systems, Logical Control of Processes and Systems.

TEACHING METHODS: Lectures, using slides, case studies, laboratory work.

METHOD OF ASSESSMENT: Continuous assignment. Two one-hour assessments at mid and end of semester.


BIBLIOGRAPHY: 1. Olsson G. and G. Piani. Computer Systems for Automation and Control. Prentice-Hall, 1992. 2. Bennet S. Real-Time Computer Control - An Introduction. Prentice-Hall, (2 ed.) 1994. 3. Ivanov I.E. Embedded Software Engineering, 2004, http://www.msdnaa.net/curriculum/pfv.aspx?5961. 4. Jack H. Automating Manufacturing Systems with PLCs. Version 5.1, 2008, http://claymore.engineer.gvsu.edu/~jackh/books.html . 5. Labrosse J. Embedded software, Newnes, 2008. 6. Samek M., Practical Statecharts in C/C++ − Quantum Programming for Embedded Systems, CMP Books, 2002.

DESCRIPTION OF THE COURSE Name of the course: Programming for Measurement Devises





LECTURER: Assoc. Prof. Ph.D. Tasho Tashev (FA) – tel.: 965 23 24, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: To give knowledge about use of techniques to programming different measurement devises. It involves integrating the following related techniques and activities – communication between measurement devises, treatment of measurement signals.

DESCRIPTION OF THE COURSE: The course treats the programming basic principles for measurement devises. The theory of programming, which is used in the various methods for measurement devises, are discussed. The basic experimental methods and techniques of programming are treated.

PREREQUISITES: Knowledge and skills in Programming and Computer Application and Microprocessor Architecture.

TEACHING METHODS: Lectures are complemented with subsidiary materials and tutorials. Students prepare individual reports for laboratory works. METHOD OF ASSESSMENT: Continuous assessment. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Charles Petzold, Programming Windows, Microsoft Press, 1997. 2. Ben Jones, Programming with Visual C++, Microsoft Press, 1996. 3. Огнян Наков, Програмиране на С++, Техника, 1995. 4. LavView, National Instruments, 1994.

DESCRIPTION OF THE COURSE Name of the course: Computer Monitoring and Control



Lessons per week: L –2 hours; LW –2 hours


LECTURER:

Assoc. Prof. Ph.D. Constantin Pavlitov (FA) – tel.965 3518, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: The main purpose of the course is to introduce students in the field of industrial applicable systems for monitoring and control. The emphasis is to the software, both on low and high level. The students have to be acquaint with the design and exploitation problems of real computer systems for monitoring and control , related to electrical drives quantities.

DESCRIPTION OF THE COURSE: The first theoretical part of the course reveals the architecture of the input/output microcomputer subsystem explaining the methods of the information transfer between the microcomputer and outside world. A lot of examples concerning the measurement and control of electromechanical quantities are explained. A major task is to explain how to design a digital electric drive position and speed regulators. Examples are referred to Motorola and Microchip and Xilinx CPLD microcontrollers. The second part of the course is devoted to the implementation of the industrial ready made systems for monitoring and control. Some of these systems like those of Advantech’s , Allen’s Bradley and LabView are briefly discussed by making some practical applications on their base. All of the examples concern the design and exploitation problems of real computer systems for electric drives quantities monitoring and control.

PREREQUISITES: Electronics and Semiconductor Elements, Digital Pulse Electronic Devices, Computing , Control Theory, Logical Control of Electromechanical Systems.

TEACHING METHODS: Lectures, using overhead or multimedia projector, laboratory work from laboratory manual, work in teams, protocols and defense of the protocols.

METHOD OF ASSESSMENT: Two-hours assessment at the end of the semester (70%) plus laboratories (30%).


BIBLIOGRAPHY: 1. Embedded Control Handbook, Microchip Technology Inc,1995, 2. ST Microelectronics Group of Companies – ST Data Disc 1st Edition CD-ROM ,1999. 3.Stallings William, Computer Organization and Architecture,1993-QA76.9.A73S73.199 4.Tanenbaum A.S., Structured Computer Organization, Prentice Hall International Editions,USA,1984 ISBN 0-13-854605-3 5. Bishop Robert H., LabVIEW 6i – Student Edition, National Instruments, Prentice Hall – Pearson Education, 2001, ISBN 0-13-032550-3. 7 Pavlitov C., Gourbunov Y., Programmable Logical Circuits in Electro-mechanics (Bulgarian), Technical University –Sofia, 2007, ISBN 978-954-438-645-0.

DESCRIPTION OF THE COURSE Name of the course: Decision-making in Control Systems





LECTURER:

Assoc. Prof. Ph.D. Georgi Sapunjiev (FA) – tel. 965 2940, еmail: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To develop the concept of contemporary decision-making theory with question “What to do” is replaced by “What must to do and why” i.e. accent is upon decision-making process inner logics. At the end of the course the students are expected to be able to apply the methodology investigation of continuous, discrete time and discrete-event processes and systems in the field of industry, management and service, and to have basic knowledge and skills in using software packages for investigations, analysis and applications of decision-making systems in practice.

DESCRIPTION OF THE COURSE: The main topics concern: applications of decision-making theory in human-machine interactions, modelling of business games, complex and decision-making systems in industry, social services in methods to solve them.; Methods for decision-making in presence of definiteness, at risk and indefiniteness with results quantity evaluation in multiple criteria is learned. Based on binary relations and theory of usefulness methods for making choices by alternatives comparison is described. Procedure for group making decisions in conflict and coalitions in counteract interest is concerned. Case studies of applications of decision-making theory in design, optimization and control of various sphere of activities.

PREREQUISITES: Control Theory, Process Control Automation, Discrete Event Systems, Industrial Information Systems, Systems Optimization.

TEACHING METHODS: Lectures, using slides, case studies, laboratory work from laboratory manual, work in teams, protocols preparation and defense.

METHOD OF ASSESSMENT: Continuous assessment. Two one-hour assessments at mid and end of semester.


BIBLIOGRAPHY: 1. Сапунджиев, Г. Н., Вземане на решения в системите за управление /учебник/, С., Изд. ТУ - София, 2005 2. Стивенсон В.Д. Управление производством. М., Бином, 1999.


Name of the course: Analysis and Processing of Biosignals





LECTURER:



AIMS AND OBJECTIVES OF THE COURSE: The theoretical fundamentals of this course are the coding and information theory. The biosignals are examined as a stationary discrete signal sources. To teach the students the processing methods and algorithms of the speech signals, ECG and EEG signals.

DESCRIPTION OF THE COURSE: The theoretical fundamentals of this course are the coding and information theory. The biosignals are examined as a stationary discrete signal sources. The fundamental models of the information sources and coding methods are represented. The main topics concern: codes with fixed and variable length, optimal codes, and basic algorithms for optimal coding. The next fundamental topics are connected with signal sources, transmission of the biosignals, description of the biosignal channels. The processing of the biosignals which are derived by direct and indirect methods in case of memory and noise presented is one of the main topics. The speech signals that are typical for this processing are discussed. Based on these signals the fundamental processing methods of the biosignals are introduced.

PREREQUISITES: System Identification, Control Theory, Control Instrumentation.

TEACHING METHODS: Lectures, using slides, case studies, laboratory and course work, work in teams, protocols and course work description preparation and defence.

METHOD OF ASSESSMENT: Continuous assessment. Protocols are checked and estimated by the lecturer


BIBLIOGRAPHY: 1. Gallader R., Information Theory and Reliability of Connection, Moscow, Savetskoe Radio, 1974; 2. Shwartvan W. O., Emelyanov G. A., Theory of transmit ion of digital information, Moscow, Sways, 1979; 3. Rabinner L. R., Shafner R. W., Digital Processing of Speech Signals, Moscow, Radio and Connection, 1984; 4. Welkov F., at all Data Transmission Systems , Sofia, Technika, 1974; 5. Adaptive Methods for Image Processing, Moscow, Nauka, 1988.


Name of the course: Mechatronics and Mechanisms in Automation

Code: BAICE47

Semester: 7




LECTURER:

Assoc. Prof. Ph.D. Ivan Avramov (FA), tel.: 965 3991, email: [email protected], Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to apply the methodology for modelling and simulation of mechanisms of automation and it using in solving of engineering problems of the Mecharonics and Robotics as well as analysis and validation of the results. DESCRIPTION OF THE COURSE: The main topics of theory of planar and spatial design mechanisms concern: kinematic joints and chains, rigid multiple links and a chains of binary, ternary and quaternary links, kinematic diagrams, function, path and motion generator mechanisms, linkage, cam, gear, belt and pulley mechanisms, four bars, Watt and Stephenson six bars and eight bars mechanisms, degrees of freedom, velocity, acceleration, transmission angle, animation and optimization of mechanisms. The robotics engineering and integrated approach of mechatronics is a synergistic integration of mechanics, electronics, embedded control and computer equipment in the design and realization of intelligent products, processes and systems, are included. In the course are learnt the basic methods and means for mechatronic systems of robotics, will be experienced in the analysis mechanisms of robotics and automation, and will be obtained knowledge and practical capabilities in the approaches and the development of the robots design. Traditional functional solutions in robotics, themes for mechatronics design of new base parameters as structural, kinematical and dynamical ones, which serve for rational choice of the mechanisms, setting into motion control and sensors are included. The important issues in motion control of robot manipulators and mobile robots, are studied. Laboratory work, experience and computer modelling is done with software tools and languages: Watt Demo&Roberts Animator, Working Model, 20-SIM, RobotAssist Demo, RoboLab and SIM-Mechanics with MATLAB is considered helpful. PREREQUISITES: Obtaining of knowledge on: Technical mechanics, Control Theory, Robotic manipulators, Control of robots and robotic systems, Design of robots and robotized systems, Sensor Systems for Robots, Logical modelling and programming. TEACHING METHODS: Lectures by using of overhead projector transparencies, video presenta-tions, slides, video films, case studies. Laboratory work including experience with educational robots and decisions on practical problems of the mechatronics with report presentations. METHOD OF ASSESSMENT: Continuous assessment. Two written tests at the mid and the end of the term (70%); Laboratory work with report presentations (30%). INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Stadler Wolfram, Analytical Robotics and Mechatronics, McGraw-Hill, Inc., New York, 1995.; 2. Waldron K., Kinzel, G., Kinematics, dynamics, and Design of Machinery, John Wilwy&Sons. Inc. New York 1999; 3. Klafter R. D., Chmielewski T. A., Negin M., Robotic Engineering, An Integratied Approach, Prentice - Hall Intern. Inc., London, 1989; 4. Galabov, V., Synthesis of mechanisms of robotics, TU-Sofia, 1992, (in Bulgarian). 5. Pavlov, V.,. Design of industrial robots. TU-Sofia, 1993,. (in Bulgarian), 6. Sandor N. G., Erdman A., Advanced Mechanisms Design: Analysis and Synthesis, Prentice Hall, Inc., 1984.


L9O1 Design of Multivariable Regulators L9O2 Design of Digital Measurement Instruments L9O3 Automation of Manufacturing Mechanisms L9O4 Systems Design L9O5 Design of Biotechn. Process Automation Systems L9O6 Analysis and Recognition of Images and Scenes


Name of the course: Design of Multivariable Regulators





LECTURER: Prof. DSc. Petko Petkov (FA) – tel.: 965 3457, email: [email protected]

Technical University of Sofia COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: To introduce the basic theory of multivariable control systems. To give knowledge about methods and software for design of multivariable regulators. DESCRIPTION OF THE COURSE: The main topics concern: Description of multivariable systems in time-domain and frequency domain; Controllability, observability and canonical forms; Pole assignment; State observers design; Linear-quadratic optimisation; Solution of matrix Riccati equations; Using of the SVD in multivariable systems analysis; Signal and system norms; Uncertainty representation; Unstructured and structured uncertainty; Performance and robustness of multivariable systems; H∞ optimisation. PREREQUISITES: Control Theory, System Identification. TEACHING METHODS: Lectures are delivered with the support of slides. Laboratory exercises are performed using MATLAB software system. METHOD OF ASSESSMENT: Written exam. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. P.Petkov. Multivariable Control Systems. TU-Sofia, 1997 (in Bulgarian) 2. P. Petkov, N. Christov, M. Konstantinov. Computational Methods for Linear Control Systems. Pretice-Hall, Hemel Hempstead, 1991.

DESCRIPTION OF THE COURSE Name of the course: Design of Digital Measurement Instruments





LECTURER: Assoc. Prof. D-r E. Yankov (FA) – tel.: 965 33 83



AIMS AND OBJECTIVES OF THE COURSE: The aim of the course is to provide contemporary knowledge on the principles of design of digital measurement instruments and systems.

DESCRIPTION OF THE COURSE: The course includes basic structural components and algorithms of digital measurement instruments and systems – digital displays, generators, comparators, digital-to-analogue DAC and analogue-to-digital ADC converters, analogue multiplexers, control blocks and algorithms, etc. Many structures of frequency meters, digital chronometers, faze shift measurement instruments, voltage-, current- and multi-meters, digital power and energy meters, circuit parameter measurement instruments are studied including their metrological analyses.

PREREQUISITES: The course is based on Pulse and Digital Circuit Technique, Electrical Measurement, Measurement of Non-electrical Quantities, Electronic Measurements Transducers.

TEACHING METHODS: lectures, laboratory work

METHOD OF ASSESSMENT: Written Exam INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Костов Ж. И., Цифрови измервателни преобразуватели и уреди, София, ВМЕИ, 1995 г. 2. Костов Ж. И., Ръководство за лабораторни упражнения по цифрови измервателни уреди, София, ВМЕИ, 1988 г. 3. Костов Ж. И., Пл. М. Цветков, Ръководство за лабораторни упражнения по цифрови измервателни преобразуватели и уреди, София, ТУ, 1998 г. 4. Адърски И.С., Ж. И. Костов, А. И. Лазаров, Аналогово-цифрови измервателни преобразуватели, София, Техника, 1983 г.


Name of the course: Automation of Manufacturing Mechanisms





LECTURER: Assoc. Prof. Ph.D. Eng. Rumen Ivanov Rainov (FA), Tel: 965-39-45, e-mail: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: The aim is the students to be acquainted with the specific features of different manufacturing mechanisms, with concrete problems for their automation and specific drives and with the methods for their solving. Independent students’ activity on the discussed materials is stimulated.

DESCRIPTION OF THE COURSE: The course is developed problematically. It gives knowledge about typical requirements to the systems for drive and automation of the basic classes of manufacturing mechanisms; mathematical description of their main quantities and processes; it’s stressed on the specific for any class problems; possible solutions are systemized. For illustration of up to date solutions of concrete problems, typical circuits for blocks and devices are derived.

PREREQUISITES: The course is based on “Electromechanical Devices”, “Measurement of Electric Quantities”, “Control of Electromechanical Systems”, and “Systems for Drives’ Control”.

TEACHING METHODS: Thee forms are used: Lectures, Laboratory works on physical and computerized models. Written materials on the laboratory works are handed up to the students.



BIBLIOGRAPHY: 1. Йорданов С., К.Кутрянски, Автоматизация на производствените механизми, С., Печатна база ТУ-София, 2001.; 2. Йорданов С., Автоматизация на производствените механизми, С., Печатна база ТУ-София, 1993.; 3. Йорданов С., Р.Райнов, Ръководство за лабораторни упражнения по Автоматизация на производствените механизми, С., Печатна база ТУ-София, 1989.; 4. Йорданов С., Г.Даскалов, Автоматизация на производствените механизми (изчислителни експерименти и оптимизация), Ръководство за лабораторни упражнения, Пловдив, Технически университет, 1991.

DESCRIPTION OF THE COURSE Name of the course: Systems Design





LECTURER:

Assoc. Prof. Ph.D. Borislav Kirilov (FA) – tel. 965 39 41, еmail: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: Aims of this course is basic foundations of systematic project research for building control systems.At the end of the course the students are expected to be able to apply the systematic methodology for investigation, system aanalysis and design of continuous, discrete time and discrete-event processes and systems in the field of industry, management and social service, and to have basic knowledge to create aims and criteria using in control systems projects. They must have a skills in using software for building models, verification, analysis and validation of the control systems projects..

DESCRIPTION OF THE COURSE: Study the process of projection of the control systems like human doing activities to create under technological, economical, social- psychological and law authorities’ limitations. Investigation, exploration, systematic methodology techniques for idea descending project and ascending verification of project decisions is acquire. Criteria, methods and tools for project optimization, planning and financial management of team groups researchers and organization is consider.The main topics concern: Systems Analysis and Design, Information Management Systems and applications to distributed systems, dynamical systems from engineering (electrical, thermal, hydraulic, mechanical, control, etc.), from economy (market-inventory-plant), from ecology (population, epidemics and pray-predator problems);

PREREQUISITES: Control Theory, System Identification, Process Control Automation.


METHOD OF ASSESSMENT: Two hour assessments at end of semester


BIBLIOGRAPHY: 1.Awad, Elias M., Systems Analysis and Design, IRWIN, Homewood, Illinois, 1985. 2.Hills, Philip J., Information Management Systems (implication for the human-computer interface), ELLIS HORWOOD, London, 1990. 3.Morris Peter W. G., George H. Hough, The Anatomy of Major Projects (a study of the reality of project management), JOHN WILEY & SONS, Chichester, 1990. 4.Живков Д., Г.Сотиров, Б.Кирилов, Проектиране на системи за автоматизация, ВМЕИ, София, 1983. 5.Капитално строителство (правилници, наредби, норми, инструкции), Наука и изкуство, София, 1981. 6.Клюев А.С., Б.В.Глазов, А.Х.Дубровский, Проектирование систем автоматизации технологических процессов, Энергия, Москва, 1980. 7.Боэм Б.У., Инженерное проектирование программного изделия, Москва, Радио и связь, 1985.

DESCRIPTION OF THE COURSE Name of the course: Design of Biotechnological Process Automation Systems





LECTURER:

Assoc. Prof. Ph.D. Stoyan Stoynov (FA) – tel.: 965 3927, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important application of the biotechnology and application of the biotechnology methods in many industrial areas.

DESCRIPTION OF THE COURSE: The biotechnology is multi-branch of science. This is a reason to introduce the knowledge of the students in the area of the automation systems of the biotechnological processes. The specific behaviours of the biotechnological processes as a plant of automation are investigated. The main topics concern: technical automation equipment; control of the basic chemical variables as: temperature, pH, dissolved oxygen in the culture broth, et. ;control of the basic kinetics variables: biomass concentration, substrate concentration, product concentration by classical and special control algorithms are represented. Automation of the sterilization process and the process of the foam treatment is also discussed. The several typical biotechnological processes are represented by the automation point of view as problems, solution and practice application of the control systems in this specific area

PREREQUISITES: Bioelectrical Engineering Fundamentals, Fermentation Technologies, Control theory, Process Control Automation, Bioautomatics.




BIBLIOGRAPHY: 1. Tsonkov St. St. Stoynov, Tz. Georgiev, Fundamentals of the Automation Control of Biotechnology Processes, Sofia, TU – Sofia, (textbook), 1994; 2. Birukov W. W., W. M. Kantare, Optimisation of the Batch Processes for Microbial Synthesis, Moscow, Nauka, 1985; 3. Isermann R., Digital Control Systems, Moscow, Mir, 1984; 4. Staniskis J., Optimal Control of Biotechnical Processes, Vilinis, Mokslas, 1984; 5. Tsonkov St., D. Filev, I. Simeonov, L. Waklew, Control of Biotechnological Processes, Sofia, Technika, 1992; 6. Bastin G., D.Dochain, On-line Estimation and Adaptive Control of Bioreactors, Louvain, Belgium, 1990.


Name of the course: Analysis and Recognition of Patterns and Scenes





LECTURER:

Assoc. Prof. Ph.D. Pencho Venkov (FA) – tel.: 965 37 35, email: [email protected]. Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to design and apply software modules for pre-treatment analysis and recognition of objects in the environment of robots;

DESCRIPTION OF THE COURSE: The main topics concern: Methods and algorithms for pre-treatment of grey level and RGB images; Analysis and segmentation of images based on homogeneous blobs – structural-parametrical models of 2D scenes; Contour strategy for analysis and segmentation of scenes; Mathematical and statistical rules for pattern recognition; Active Vision - model guided analysis and recognition of objects in the environment of robots.

PREREQUISITES: Programming and Computer Application, Mathematics.

TEACHING METHODS: Lectures, using slides and case studies, laboratory work with computer vision systems, research and demo-programs for image processing and analysis;

METHOD OF ASSESSMENT: Four hours writing examination in the session.


BIBLIOGRAPHY: 1. 1.Венков П., Анализ и разпознаване на изображения и сцени, Изд. Т.У.-София, 1997; 2.Horaud R.,O.Monga, Vision par ordinateur – outils fondamentaux, Hermes, Paris, 1993; 3.Ballard d., C.Broun, Computer Vision, Prentice Hall, 1982. 4. Пъю А., Техническое зрение роботов, Москва, Машиностроение, 1987.

List HS (BAICE50– EСТS 3)

LHS1 Philosophy LHS2 Legal Protection of the Intellectual Property LHS3 History of Science and Technology LHS4 Sociology


Name of the course: Philosophy


Type of teaching: Lectures and Tutorials

Lessons per week: L – 2 hours; T – 1 hour


LECTURER:

Assoc. Prof. PhD Angel Kondev (DHS), tel. 965 3437, email: [email protected] Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: The Philosophy course aims at acquainting the students with the major philosophical problems and methods in analyzing the phenomena and processes in the Nature and public life. Their understanding is an important condition for a more profound comprehension of the content of some of the other disciplines on the curriculum, as well as for the full-scale professional fulfillment in the domain of this specialty. DESCRIPTION OF THE COURSE: The discipline Philosophy broadens the fundamental theoretical training of students in the Automation, Information and Control Engineering specialty. It incorporates the study of major philosophical theories that were created in the Antiquity, Middle Ages and Renaissance, New Times, the Enlightenment, and the present (19th-20th cc.). It analyses the structure and content of History of Philosophy from the viewpoint of the main connections with the other material and spiritual forms of public life: policy, economy, science, religion, the arts, morals, etc. On these grounds, a scientific methodology has been formed for analysis of the contemporary dimensions and trends in public life, and scientifically grounded practical approaches are sought towards the problems of modern liberal democracy, of the totalitarian and traditional societies, globalisation, religious fundamentalism, international terrorism, etc. PREREQUISITES: Not required. TEACHING METHODS: Philosophy is taught in the form of lectures, which present the theoretical content of the subject, and seminar exercises at which topical and practically significant problems are analyzed. The use of contemporary technical education equipment is envisaged, including a configuration of a laptop and a multimedia projector. METHOD OF ASSESSMENT: Continuous Assessment. The learning of the study material is evaluated on a six-point system of grading, and the general evaluation mark is formed on the basis of the students’ input at the seminars (25% of the evaluation mark), and two written works: a paper on a theoretical subject of the discipline (50% of the evaluation mark) and an essay on a topical public problem (25% of the evaluation mark). INSTRUCTION LANGUAGE: Bulgarian. BIBLIOGRAPHY: 1. Friedo Ricken, Philosophie der antike, 1988 W. Kohlhammer GmbH; 2. Richard Heinzmann, Philosophie des Mittelalters, 1992 W. Kohlhammer GmbH; 3. Emerich Coreth, Harald Scondorf, Philosophie des 17. und 18. jahrhunderts, 1983 W. Kohlhammer GmbH; 4. Neno Bogdanov, XX-th century’s Philosophy, Sofia, 2003; 5. Robert Paul Wolf, About Philosophy, 2000 by Prentice-Hall; 6. Georges Balandier, Anthropologie politique, Presses Universitaires de France, 1967; 7. Samuel Huntington, The clash of civilizations and the remaking of world order, 1996.


Name of the course Legal Protection of the Intellectual Property


Type of teaching: Lectures and Tutorials



LECTURER: Assoc. Prof. Ph.D. Stefan Stefanov (FM), Phone: +359 2 965 30 82, e-mail: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: The course „Legal Protection of the Intellectual Property“ has for an aim to give the students a minimum of knowledge about the legal protection and the commercial realization of the immaterial objects of the intellectual property.

DESCRIPTION OF THE COURSE: The teaching in this field ranges the legal protection of variety of immaterial objects, belonging to the intellectual property accordingly to the Paris Convention from 1883, the Bern Convention from 1886 and the TRIPS from 1994, such as:

- copyright objects; - patentable inventions and utility models; - trademarks and industrial designs; - company names (trade names) and appellations of origin; - layout-design of integrated circuits (chip protection); - trade secrets and their transfer as a 'know-how';

It goes also into problems, which are connected with the patent policy and the transfer of technology (licensing agreements) as a part of a market strategy.

PREREQUISITES: Basic Knowledge in the field of the civil and industrial law.

TEACHING METHODS: Lectures, using slides and power point presentation, tutorials, group seminars or workshops, case studies.

METHOD OF ASSESSMENT: Continuous Assessment.


BIBLIOGRAPHY: 1. Law on Patents and Utility Models – Official Gazette 27/1993; 2. Law on Trade Marks and Geographical Indications - Official Gazette 81/1999; 3. Law on Industrial Design - Official Gazette 81/1999; 4. Chip Protection Law - Official Gazette 81/1999; 5. Copyright Law - Official Gazette 56/1993;

All of these have to be fined in: www.bpo.bg

DESCRIPTION OF THE COURSE Name of course: History of Science and Technology


Method of teaching: Lectures, Tutorials



LECTURER:

Assoc. Prof. Ph.D. Miroslav Dentchev (DHSD), phone 965-2882 Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: The course has the aim of presenting the students the knowledge of basic problems and the portraits of famous inventors. DESCRIPTION OF THE COURSE: The course gives the students knowledge and skills - part of contemporary professionalism of mechanical engineer. They dive also the knowledge of basic principles and criteria of science classification. The object of study is some applied aspect of investigation in science and technique’s history. The students also study the portraits of famous inventors. PREREQUISITES: Knowledge about technical systems’ development is required TEACHING METHODS: Lectures with slides and flipcharts, seminars with cases, discussions, written materials and problem situations. METHODS OF ASSESSMENT: Continuous Assessment. INTRODUCTION LANGUAGE: Bulgarian. BIBLIOGRAPHY: 1. Радулов Г., История на техниката С., 2003,; 2. Космодемянский А., Очерки по истории механики М., Наука, 1982; 3. Dresdener Beitrage zur Geschichte der Technikwissenchaften, Technische Universitat Dresden, 1988; 4. Димитров В. Българите и радиото, Университетско издателство , С., 1988; 5. Апокин И., Кибернетика и научнотехнический прогресс, Наука, 1982; 6. Бережних О., Най-големите кораби, В. Идз. Г. Бакалов, 1988

DESCRIPTON OF THE COURSE

Name of the course: Sociology


Type of teaching: Lectures and seminars work

Lessons per week: L – 2 hours, SW – 1 hours


LECTURER: Assoc. Prof. Dr. Dimitar Cheneshev (FM) - tel.: 9652180, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: Students to acquire basic knowledge for the fundamental problems of industrial sociology witch will enriched their professional thinking. In the end of the study the students will enlarge their knowledge of the industrial and economical transfer essence. They will obtain their own vision on the industrial relations and will posses knowledge on the methodology and the management of the decision making. The students will be able also to analyze and evaluate the entrepreneurship risk and to solve concrete sociological cases.

DESCRIPTION OF THE COURSE: The main topics concern industrial sociology problems. The study is focused on the classical manufacture in new industries, grown on the computer, electronics, information and biology base as well as on the supplementary social (public and private) changes. It is study also: the sociology of the industrial organization; the problems of the methodology and the management of the decision making; the analysis and the evaluation of the entrepreneurship risk.

PREREQUISTES: Secondary school knowledge.

TEACHING METHOODS: Lectures are supported by multimedia, class discussions.

METHOD OF ASSESSMENT: Continuous Assessment. Written exam in the end of semester – 60%, class work – 20%, students’ performance during the semester – 20%.

INSTRUCTION LANGUADGE: Bulgarian.

BIBLIOGRAPHY: 1. Н. Генов, Социология, Регионално и глобално развитие, С., 1998. 2. Икономическа социология, изд. на УНСС, С., 1992. 3. Г. Найденов, Стогодишната парадигма, изд. на Инст.по социология, С., 2003. 4. А. Мендас, Елементите на социологията, изд. "Кама", С., 2002. 5. Ф. Хайек, Фаталната самонадейност, изд."Отворено общество", С., 1997. 6. Найденов Г., Какво става? изд."ВИКОМ-КОС", С., 1991 г.


L10O1 Optimal and Adaptive Control L10O2 Distributed Measurement Systems L10O3 Optimal Control of Electromechanical Systems L10O4 Systems Optimization L10O5 Biosensors Systems and Analyzers L10O6 Mobile Robots

DISCRIPTION OF THE COURSE

Name of the course: Optimal and Adaptive Control





LECTURERS:

Ass. Prof. Tsonio Slavov, tel.: 965 2420, еmail: [email protected] Technical University of Sofia

COURSE STATUS IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: To introduce the basic theory of optimal and adaptive control. To give knowledge about methods for solving optimal and adaptive control problems and design of optimal and adaptive systems. DESCRIPTION OF THE COURSE: Variational methods; LQ optimal control problem; Pontryagin maximum principle; Time-optimal control systems; The optimum principle; Dynamic programming; Adaptive control principles; Self-tuning controllers; Model reference adaptive control. PREREQUISITES: Control Theory, System Identification. TEACHING METHODS: Lectures are delivered with the support of slides. Laboratory exercises are performed using MATLAB software system. METHOD OF ASSESSMENT: Written final examination, including solving problems (80%); laboratory reports defence (20%). INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Гунчев, Л. Оптимално управление. Техника, С., 1987. 2. Велев, К. Адаптивни системи, София, 1995. 3. Anderson, B. D. O., J. B. Moor. Optimal Control: Linear-Quadratic Methods. Prentice Hall, London, 1990. 4. Isermann, R., K.-H. Lachmann, D. Matko. Adaptive control systems. Prentice Hall, London, 1992.

DESCRIPTION OF THE COURSE Name of the course: Distributed Measurement Systems





LECTURER: Assoc. Prof. Ph.D. P. Tzvetkov (FA) – tel.965 2382, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to apply the methodology for modelling and optimizations of discrete time and discrete-event processes and systems in the field of industry, management and service, and to have basic knowledge and skills in using software packages for optimization systems behaviour, analysis and design.

DESCRIPTION OF THE COURSE: The main focus is upon model building, analysis of optimization procedure in this case regarding indefiniteness both in model and in optimization task. Various classes of optimization problems and basics methods for solving is concern. Case studies that illustrate every topics of the course like design, optimization and control of real world problems. PREREQUISITES: Control Theory, System Identification, Process Control Automation, computer simulations TEACHING METHODS: Lectures, using slides, case studies, laboratory work from laboratory manual, work in teams, protocols preparation and defence.

METHOD OF ASSESSMENT: Two-hour assessments at end of semester INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1.Реклейрис Г. и др., Оптимизация в технике. Том 1 и 2, М., Мир, 1986. 2.Wilde D.J., Optimal Design, Wiley, NY, 1992. 3.Edgar T., D. Himmelblau, Optimization of Technological Systems, McGraw-Hill, NY, 1990. 4.Стоянов С., Оптимизация на технологични процеси. Техника, С., 1993. 5.Вощинин А., Г.Сотиров, Оптимизация в условиях неопределенности, Техника, С., 1990. 6.Оптимизация на производствени системи. Под ред. на И.Попчев, Техника, С., 1987.

DESCRIPTION OF THE COURSE Name of the course: Optimal Control of Electromechanical Systems





LECTURER:



AIMS AND OBJECTIVES OF THE COURSE: Besides receiving of optimal time diagrams of current, velocity, power losses, students meet methods and means for their automatically forming on the base of information for the object.

DESCRIPTION OF THE COURSE: The course gives knowledge on the theory for optimal control and its application for electromechanical systems. The problems about optimal fast response of the systems are underlined. A part of the course discuses problems of parametric optimization of the electromechanical systems.

PREREQUISITES: The course is based on “Control theory”, “Electromechanical devices”, “Sys-tems for Drives’ Control”, “Control of electromechanical systems”, Systems for electric drives’ control” and “Automation of Production Mechanisms“.

TEACHING METHODS: Lectures assisted with slides and laboratory works on computerized and physical models. Written materials on copy sheets related the lectures and labs are given to the students.

METHOD OF ASSESSMENT: Written exam.


BIBLIOGRAPHY: 1. Томов И, Оптимални и адаптивни системи – ІІ част, С., Издателство на ТУ-София, 1992.; 2. Чиликин М.Г., Ключев В.И., Сандлер Л.С., Теория автоматизированного электропривода, М., Энергия, 1979.; 3. Бор, Раменский и др., Быстродействующий электропривод, М., Энергия, 1969.; 4. Атанс М., П.Фалб, Оптимальное управление, М., Машиностроение, 1968.; 5. Фельдбаум А.Л., А.Г.Бутковский, Методы теории автоматического управления, М., Наука, 1971.; 6. Понтрягин Л.С., и др., Математическая теория оптимальных процессов, М., Наука, 1969.

DESCRIPTION OF THE COURSE Name of the course: Systems Optimization





LECTURER:

Assoc. Prof. Ph.D. Georgi Sapundjiev (FA) – tel.965 29 40, email: gensap@ tu-sofia.bg Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to apply the methodology for modelling and optimizations of discrete time and discrete-event processes and systems in the field of industry, management and service, and to have basic knowledge and skills in using software packages for optimization systems behavior, analysis and design.

DESCRIPTION OF THE COURSE: The main focus is upon model building, analysis of optimization procedure in this case regarding indefiniteness both in model and in optimization task. Various classes of optimization problems and basics methods for solving is concern. Case studies that illustrate every topics of the course like design, optimization and control of real world problems.

PREREQUISITES: Control Theory, System Identification, Process Control Automation, Systems and Processes Modelling and Simulation.


METHOD OF ASSESSMENT: Two-hour assessments at end of semester.


BIBLIOGRAPHY: 1.Реклейрис Г. и др., Оптимизация в технике. Том 1 и 2, М., Мир, 1986. 2.Wilde D.J., Optimal Design, Wiley, NY, 1992. 3.Edgar T., D. Himmelblau, Optimization of Technological Systems, McGraw-Hill, NY, 1990. 4.Стоянов С., Оптимизация на технологични процеси. Техника, С., 1993. 5.Вощинин А., Г.Сотиров, Оптимизация в условиях неопределенности, Техника, С., 1990. 6.Оптимизация на производствени системи. Под ред. на И.Попчев, Техника, С., 1987.

DESCRIPTION OF THE COURSE Name of the course: Biosensors Systems and Analysers





LECTURER:



AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important knowledge of the information and metrological assurance of the biosensor systems and analyzers, modelling of the biosensors systems and application in biotechnology, medicine, human nutrition, food enterprises and ecology.

DESCRIPTION OF THE COURSE: The aim of the course “Biosensors systems and analyzers ” is to teach the students the most important knowledge of the engineering enzymology, electrical chemical biosensors systems, mathematical description of the biosensor systems, modelling of the base working modes, technical and metrological characteristics, classification of the biosensors and their applications in biotechnology, medicine, human nutrition, food enterprises and ecology.

PREREQUISITES: Bioelectrical Engineering Fundamentals, Electrical Engineering Theory, Electrical Measurements, Bioelectronics.




BIBLIOGRAPHY: 1. Neykov A. A., Biosensor Systems and Analysers, TU – Sofia, Sofia (textbook), 1996; 2. Edited by E. Terner, I. Karube, J. Wilson, Biosensors: fundamentals and applications, Moscow, Mir, 1992; 3. Kulis W. W., Analytical Systems based on Immobilized Enzymes, Vilnus, Mokslas, 1981; 4. Keleti T., Basic Enzyme Kinetics, Moscow, Mir, 1990; 5. Enzyme and Microbial Biosensors. Edited by A. Mulchandani, K.R. Rogers. Humana Press, 1998.


Name of the course: Mobile Robots





LECTURER:

Assoc. Prof. Ph.D. Vladimir Zamanov (FA) – tel.: 965 2738, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To acquire the knowledge in mechanics, motion control and application of mobile robots

DESCRIPTION OF THE COURSE: The course “Mobile robots” is thought at the ending phase of bachelor level from students, specializing in robotics”. There are studied the important issues in mechanics and motion control of mobile robots. Studies in the structure, characteristics and applications of mobile robots systems in industry, in service and in medicine. Analyze of specialized mobile robotic systems used for incident works, repair and control, research work. An essential place is given on walking robots. Several problems are treated in more detailed way: stability of position, coordination of movement and also movement in hops or craws. There is made a parallel with biomechanical movements in animals and humans. Laboratory work is done with RoboLab and WR12.

PREREQUISITES: Physics, Mechanics, Control Instrumentation, Control of Robots and Robotic Systems, Robotic Manipulators, Information and Sensor Systems in Robotics, Design of Robots and Robotic Systems, Mechatronics and Mechanisms in Automation.

TEACHING METHODS: Lectures, using slides, video presentations, case studies, laboratory, work in teams, protocols.

METHOD OF ASSESSMENT: Exam at the end of semester (70%) + Laboratory work (30%)


BIBLIOGRAPHY: 1 Nakano A, Introduction to robotics, Moscow 1988(Russian translation from Japanese) ;2 Zamanov W., Karastoianov D., Sotirov. Z. , Mechanics and control of robots, Sofia,1993; 3. Ayres.R, Miller S. Robotics-Aplicationsabd social implications Cambridge 1983 4 Shahinpooor M. , A Robot engineering textbook , 1987(Russian translation from English).; 5 Raibert, M., K., Experiments in Balance with a 3D One Lagged Hopping Machine, The Int. Journal of Robotics Research, Vol. 3, No 2, 1984; 6. Hirose, S., Snake - like Locomotors and Manipulators, Oxford Univ. Press, 1993.


L11O1 Operations Research L11O2 Intelligent Instrumentation L11O3 Microprocessor Controlled Electric Drives L11O4 Applied Control Methods in Techn. Processes L11O5 Computer Automat. Systems in Biotechnologies L11O6 Diagnosis of Robot Systems


Name of the course: Operations Research





LECTURERS:

Assoc. Prof. PhD Teofana Puleva (FA) – tel.: 965 2526, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to have knowledge and initial abilities and skills to model and analyze decision problems by using the deterministic and some of the most popular probabilistic models of Operations Research. They are expected to have basic knowledge on software tools and use them in solving decision-making and optimization problems.

DESCRIPTION OF THE COURSE: The main topics concern: Principles of Operations Research; Linear Programming – Primal and Dual Simplex Methods, Revised Simplex Method, Duality, Sensitivity, and Parametric Analysis, Transportation Model; Network Models – Minimal Spanning Tree, Shortest-Route, Maximal-Flow Problems; Project Scheduling by PERT-CPM – Critical Path, Resource Leveling, Cost Minimization; Integer Linear Programming – Branch-and-Bound Algorithm, Cutting-Plane Algorithms; Dynamic Programming; Elements of Decision Theory and Games – Criteria for Decision-Making under Risk and under Uncertainty, Decision Trees, Bayes’s Approach; Two-Person Zero-Sum Games, Pure and Mixed Strategies.

PREREQUISITES: Mathematics, Programming and Computer Application.

TEACHING METHODS: Lectures, laboratory work using teaching software, with individual assignments, written presentation.

METHOD OF ASSESSMENT: One four-hour written examination at the end of semester (80%), laboratories (20%).


BIBLIOGRAPHY: 1. Gatev, G., Operations Research. Decision-Making under Certainty, vol.1, Technical University-Sofia, 1995, 2004 (in Bulgarian); 2. Taha, H. A., Operations Research. An Introduction, Eighth Ed., Prentice Hall, ISBN 978-81-317-1104-0, 2009; 3. Taha, H. A., Operations Research. An Introduction, Second Ed., Mir, Moskva, 1985 (in Russian); 4. Zaychenko, Y. P., Operations Research, Publish. Comp. “Higher School”, Kiev, 1988 (in Russian); 5. Hillier, F. S., G. J. Lieberman, Introduction to Operations Research, Ninth Ed., McGraw-Hill Inc., 2010, ISBN 0073376299; 5. Cheshankov, B., Operations Research, vol.1, Technical University-Sofia, 2004 (in Bulgarian).

DESCRIPTION OF THE COURSE Name of the course: Intelligent Instrumentation





LECTURER: Assist.Prof. Ph.D. Andrey Elenkov (FA) – tel.: 965 34 93, еmail: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: To provide the methodology of design and application of intelligent instrumentation and to bring together the fields of measurements and digital computing hardware and software, as applied to microprocessor applications in measurement and control. The main emphasis is on the use of microprocessors embedded in systems to provide greater power and flexibility.

DESCRIPTION OF THE COURSE: The main topics concern: Architecture and basic principles of intelligent instruments and systems, intelligent versus dumb instrumentation, system elements and models - general principles, generalized model of system elements, loading effects and accuracy improvement, signals and noise in measurement systems; Signal conditioning- application of DC and AC bridges, different types of amplifiers, oscillators etc.; Analogue to digital conversion of basic input values: voltage, current and time domain characteristics, interfacing problems (components and technique) and software algorithms. Digital to analogue converters: interfacing and control algorithms, functional generators, software examples; Architecture and operation principles of the basic intelligent structures: voltmeters, power- meters, universal counters, electricity-meters etc.; Intelligent sensors-structure and elements, Application of Sigma-delta converters, communication-controllers and bus orientated smart sensors, Examples (intelligent sensors for temperature, flow, pressure etc.); Introduction in programming real time systems.

PREREQUISITES: Physics, Electrical Engineering Theory, Programming and Computer Application, Control Instrumentation, Semiconductor Elements, Analogue Devices in Measurement Technology.

TEACHING METHODS: Lectures, case studies, laboratory work from laboratory manual, work in teams, protocols preparation and defence.

METHOD OF ASSESSMENT: Exam at the end of the term. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. Barney G.C. Intelligent Instrumentation, Prentice Hall, 1988. 2. Иванов Р., Г. Михов. Електронни цифрови устройства и системи. Техника, 1990. 3. Златаров В., Р. Иванов, Г. Михов. Приложение на микропроцесорни системи в електронни устройства. Техника, 1984. 4. Ангелов А., П. Петров. Микропроцесори в радиотехническите системи. Техника, 1987. 5. Каракехайов З., Е. Саръмов. Приложни микрокомпютърни системи. Издателство на ТУ-София, 1995. 6. Стоянов И. Измерване в електрониката и изчислителната техника. Техника, 1987. 7. Каракехайов З., С. Григоров. Едночипови микрокомпютри. Техника, 1992.


Name of the course: Microprocessor Controlled Electric Drives



Lessons per week: L –3 hours; LW–2 hours


LECTURER:

Assoc. Prof. Ph.D. Constantin Pavlitov, (FA) – tel.965 3518, e-mail: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: The purpose of the course is to acquaint students with microcontroller electric drive applications and especially DSP motor control fundamentals.

DESCRIPTION OF THE COURSE: The DSP Motor Control Applications are the main object of this course. Stress is made over Frequency Controlled Electrical Drives using Analog Devices Motor Control DSPs, brushless and switched reluctance motor control using Motorola latest motor control DSPs and algorithms for vector controlled induction motors of Texas Instruments. Speed and position Fuzzy Controlled Systems are revealed on a theoretical and practical level. As a model tools are used MATLAB Simulink and especially Fuzzy ToolBox of Matlab. The control programs are based on the assembler, C and Verilog hardware language programming.

PREREQUISITES: Electronics and Semiconductor Elements, Digital Pulse Electronic Devices, Computing, Control Theory, Logical Control of Electromechanical Systems.

TEACHING METHODS: Lectures, overhead or multimedia projector, laboratory work from laboratory manual, work in teams, protocols and defense of the protocols.

METHOD OF ASSESSMENT: Exam at the end of the semester (70%) plus laboratories (30%).


BIBLIOGRAPHY: 1.ADSP-2100 Family Assemblers Tools & Simulator Manual, Analog Devices Second Edition, 1994, 2.Pavlitov C., Gourbunov Y., Programmable Logical Circuits in Electro-mechanics (in Bulgarian), Technical University –Sofia, 2007, ISBN 978-954-438-645-0.3. Analog Devices, ADMCF32X DSP Motor Controller, Developer’s reference manual, rev. 1.20 Dec.1999, 4. Texas Instruments, TMS320C24x Digital Motor Control - DSP Solutions CD-ROM, Guided tour Product database Documentation, TI 1999, 5. Naim Dahnoun, Digital Signal Processing Implementation using TMS320C6000TM DSP Platform, Pearson Education, England, 2000 ISBN 0201-61916-4, 6. Pavlitov C., Fuzzy Position Control of Induction Motor, 5th International AECV Conference 2003-Final Proceedings, French Ministry of Defense 2-5 June 2003, Angers, France, 7. C.Pavlitov, S.Siderov, S.Andasarov, Mathematical Model of NeuroFuzzy Power Factor Control System, IEEE Acemp2001, June 2001, Kushadasi, Turkey.


Name of the course: Applied Control Methods of Technological Processes





LECTURER:

Prof. D.Sc. Emil Nikolov (FA) – tel.965 26 48, email [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: The course acquaints the students to applied aspects of modern control methods of technological processes and modes of operation of industrial aggregates in conditions: parametrical and structural revolting effects distributed parameters of models of object, wave perturbation, and delay.

DESCRIPTION OF THE COURSE: The discipline expands a theoretical basis, system connections and consumer skills in preparation of the students in the field of effective applied control methods of industrial objects by technological processes under operating conditions and in the field of a research, designing, choice, evaluation, introduction, set-up and operation of effective control systems.

PREREQUISITES: Physics, Mathematics, Control Theory, Control Instrumentation, Process Control Automation.

TEACHING METHODS: Lectures with slides, case studies, course work, laboratory work with laboratory manual, work in teams, protocols preparation and defence.

METHOD OF ASSESSMENT: One three-hour examination at the end of semester (80%) plus laboratories (20%).


BIBLIOGRAPHY: 1. Morari M., E.Zafiriou, Robust Proccess Control, Prentice Hall, Englewood Clifs, New Jersey, 1989 2.Еström K.J., B.Wittenmark, Adaptiv Control, Addison-Wesley Publishing Company, 1988 3.Landau I., L.Dugard, Commande adaptative - aspects pratiques et theoretiques, Paris, Masson, 1986 4.Johson G., A preliminari studi of disturbance absorbing controllers.-Control and dynamic systems advances in theory and application, Academic Press, New York, 1976 5.Pedrycz W., Fuzzy Control and Fuzzi Systems, Taunton-Somerset-England, Rechearch Studies Press Ltd., New York, John Wileey & Sons Inc., 1989 6.Kwakernaak H.(1993), Robust Control and H∞-Optimisation,- Automatika, Vol.29, No2, pp.255-273, March

DESCRIPTION OF THE COURSE Name of the course: Computer Automation Systems in Biotechnologies





LECTURERS:

Assoc. Prof. Ph.D. Stoyan Nedelchev Stoynov (FA) – tel.: 965 3927, email: [email protected]


AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important principals, methods, organisation, and building of the computer automation systems. Special knowledge about hardware and software equipment of the computer automation systems.

DESCRIPTION OF THE COURSE: The course “Computer automation systems in biotechnologies” is a natural continuation of the course “Computer Control Systems for Biotechnological enterprises”. The main topics concern the basic functions and tasks, specific structural and architecture behaviors of the computer automation systems and its applications in scientific experiments. The specific knowledge about the process interfaces and human interactive interfaces, and real time operating systems are also discussed. The personal project of this course includes: investigation of the real - life process, design of specific computer automation systems

PREREQUISITES: Semiconductor Elements, Bioelectrical Engineering Fundamentals, Electrical Engineering Theory, Fermentation Technologies, Biotechnological Measurements, System Identification.




BIBLIOGRAPHY: 1. Zudin D. W., W. M. Kantare, G. A. Ugodchikov, Automation of Biotechnological Investigations, Technika, Sofia, 1988; 2. Tzonkov St. at. all, Control of Biotechnological Processes, Technika, Sofia, 1992; 3. Shtenicov U., U. Voronin, Design of Control Computer Systems for Automation of Technological Processes, Moscow, 1986; 4. Martin Jh., Computers Networks and Distributed Data Processing , vol. 1., vol. 2, Finansi and Statistika, Moscow, 1986; 5. Egipko W. M., at. all , Automation of Microbiological Experiments, Haukova Dumka, Kiew, 1985.


Name of the course: Diagnosis of Robot Systems





LECTURER:

Assoc. Prof. Ph.D. Ivan Avramov (FA) – tel.: 965 3991, email: [email protected], Ass. Prof. Mag. Eng. Ludmil Spirov (FA) – tel.: 965 3073, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: To provide the basic knowledge in the field of technical diagnosis, especially methods of the diagnosis problems solution in robotics.

DESCRIPTION OF THE COURSE: The main topics concern: The main tasks and objectives of the technical diagnosis; Kinds of faults; Fault-functions matrix; Diagnosis test and the fault-dictionary; Modelling of a diagnosis object; Application of the logical modelling in robotics - generality out-function method; Depth of the diagnosis search; Diagnosis procedures – decision-rule algorithms; On-line-type and off-line-type diagnosis systems; The standard requirements in a testing of robots (ISO); Application of the PT Petri net in a diagnosis modelling of the robot; Compute of tests in a combinational circuit: The distinguish-function method, The classical D-algorithm, The Boolean-difference method, The Poage-McCluskey method; Effective diagnosis procedures creation – Chen-method; Reliability evaluation; Redundancy by coding for a high-reliability in robotics; Examples in the field of industrial robot diagnosis systems (SCARA, ASEA); self-diagnosis systems.

PREREQUISITES: Basic knowledge in Mathematics, as well as in Logic Modelling and Programming, Control of Robots and Robotic Systems, Robotic Manipulators, Design of Robots and Robotic Systems, Information and Sensor Systems in Robotics.

TEACHING METHODS: Lectures, using didactic means; laboratory work.

METHOD OF ASSESSMENT: A written examination.


BIBLIOGRAPHY: 1. Пархоменко П.П. и др., Основы технической диагностики, I и II част, Энергия, М., 1976; 2. Breuer M.A. and Friedman A.D., Diagnosis and reliable design of digital systems, London, 1977; 3. Lala P.K., Fault tolerant and testable hardware design,Englewood Cliffs etc., Prentice-Hall, 1985; 4. Табаков И.Г., Въведение в мрежите на Петри, ЦИНТИ, София, 1983; 5. Ларичев О.И. и др., Выявление экспертных знаний, Наука, М., 1989; 6. Chakradhar S.T., V.D.Agrawal, M.L.Bushnell, Neural models and algorithms for digital testing, Kluwer Academic Pulishers, 1995; 7. Беннетс Р.Дж., Проектирование тестопригодных логических схем, Радио и связь, М.,1990; 8. Peterson J.L., Petri net theory and the modelling of systems, Englewood Cliffs, Prentice-Hall, N.J.,1981.


L12O1 Distributed Computer Control Systems L12O2 Calibration and Metr. Superv. of Meas. Instr. L12O3 Robotized Technologies and Systems L12O4 Energy Effectiveness in Production and Ecology L12O5 Modelling and Optimization of Biotechn. Proc. L12O6 Programming of Robots and Robotic Systems


Name of the course: Distributed Computer Control Systems


Type of teaching: Lectures, Laboratory work, Course work


Number of credits:4

LECTURER:

Assoc. Prof. Krasimira Filipova Ph.D., (FA), tel.: 965 2526, еmail: [email protected]. Technical University of Sofia

COURSE STATUS IN THE CURRICULUM : Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia.

AIMS AND OBJECTIVES OF THE COURSE : At the end of the course the students are expected to be able to describe computer control systems, characterized as distributed on the different mark (of the hierarchy, of the place, of the priorities, etc.), analytically and graphically with the Petry net help. Structures and mechanisms of functioning of distributed (hierarchical) systems, protocols of communication, design of net software, distributed data bases are analyzed. The problems of the decentralized control are studied. Learning about selected technological software and comparative analyzes of their capacities ensure the optimal selection in order to solve engineering tasks.

DESCRIPTION OF THE COURSE : The main topics concern: Properties and characteristics of DCCS connected with the system structure, purpose and tasks of the central and local computers; Architecture – topology, control conception, multicomputer structure; elementary system models described with the Petry nets - accessibility, accidental matrix, invariants, structure of specialized microcomputers for parallel control, comparative analysis of net architectures; Described data basis; Algorithms of distributed control – problems, tasks and models of supervising control; Net software; Software tools and languages - MATLAB, Simulink, PENEGA, INA, etc.

PREREQUISITES: Control Theory, Logical Control of Processes and Systems, Microcomputer Architecture, Computer Control Systems.

TEACHING METHODS : Lectures, using slides and case studies.

METHOD OF ASSESSMENT : Continuous assessment. Two two-hour assessments at mid and end of semester (70%), laboratory reports defence (15%), course work (15%).

INSTRUCTION LANGUAGE: Bulgarian language. BIBLIOGRAPHY: 1.Reisig W.,Elements of Distributed Algorithms: Modelling and Analysis with Petri nets, Spr.-Verlag,1998; 2..Rozenberg G.,Agha G.,CindioF.,Concurent Object-Oriented Programming and Petri Nets, Springer-Verlag, 2001; 3. Distributed Computing, Principles, Algorithms, and Systems, A. Kshemkalyan, ISBN-13 978-0-511-39341-9, 2008 4. Girault Claude, Petri nets for systems engineering : a guide to modeling, verification and applications, Berlin , Springer, 2003.

DESCRIPTION OF THE COURSE Name of the course: Calibration and Metrology Supervision of Measuring Instruments





LECTURER: Assoc. Prof. Ph.D. I. Kodjabashev (FA) – tel.: 965 24 38, email: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: At the end of the course the students are expected to be able to apply the knowledge for basic concepts of calibration and metrology supervision of megering instruments (MI) for electrical and magnetic measurement, ensuring unity and tracеability of measurement.

DESCRIPTION OF THE COURSE: The main topics concern: Legal documents – Law of measurements, Regulations evolve from Law of measurements; Calibration of MI – aim and purpose, ensuring of traceability, methods and MI for calibration; Uncertainty of measurement – types of uncertainty, assessment, presentation; Metrology supervision of MI – test and verification, aim and purpose, methods and MI for test and verification; Organization of activities calibration and metrology supervision of MI – requirements, realization.

PREREQUISITES: Electrical measurements, Measurement of Non-electrical Quantities, Metrology.

TEACHING METHODS: Lectures, using subsidiary materials and tutorials. Laboratory and course work, protocols and course work description preparation and defence.

METHOD OF ASSESSMENT: Continuous assessment. Two one-hour assessments at mid and end of semester (60%), laboratories (20%), course work (20%).


BIBLIOGRAPHY:

1. Закон за измерванията, ДВ бр. 45 от 1998 г. 2. Наребди към Закона за измерванията. 3. Бюлетин на Съюза на метролозите в България кн. 6/2000, кн. 7/2001, кн. 3/2002;; 4. Радев Х, В. Богев. Неопределеност на резултата от измерване Софттрейд, София 2001. 5. Guide to the expression of uncertainty in measurement, 1st edition, 1995. 6. Сергеев А., В. Кронин Метрология, Логос, 2000. 7. Чаушев П. Метрология, Изд-во ТУ-София, 1998. Колев Н., П. Чаушев, В.Гаврилов. Основи на метрологичното осигуряване. Техника, София, 1982. 9. Бурдун Г. Б. Марков ОсновЫ метрологии, Изд-во стандартов, Москва 1972. 10. Орнатский П.П. Теоретические основы информационно-измерительной техники, Висша школа, Киев, 1984.


Name of the course: Robotized Technologies and Systems





LECTURER:

Assoc.Prof. PhD Eng. Ivan Avramov, (FA), tel. 965 3991, email: [email protected], Technical University of Sofia

STATUS OF THE DISCIPLINE IN THE CURRICULUM: Optional for the students specialty Automation, Information and Control Engineering, BEng programme, Faculty of Automation. AIMS AND OBJECTIVES OF THE COURSE: To acquire basic information on the technical and economic characteristics and methods for introduction and operation of robotized production DESCRIPTION OF THE COURSE: The course introduces students to the technical and economic characteristics and methods for introduction and operation of robotized production. The typical features of contemporary production, automation levels, quantity criteria for evaluation of flexibility, organizational and structural models and the correlation in the technical characteristics of structural components – industrial robots, technological machines, inter-operational transport, inter-operational and final automated warehouses are all studied. The robotization of auxiliary and main technological operations in the machine-building, electronic, textile and food, wine and tobacco industries are examined. Robotized complexes for mechanical and physical and chemical treatment, for welding, painting, laying decorative finish, transportation of liquid metal, cleaning, installation, measurement and control are studied at system level. Real production operations are modelled on training stands and they serve for laboratory seminars. PREREQUISUTES: Robotic Manipulators, Information and Sensor Systems in Robotics, Control of Robots and Robotic Systems. TEACHING METHODS: Lectures and laboratory seminars. Use of overhead projector. METHOD OF ASSESSMENT: Written examination, followed by discussion on a date fixed by the lecturer. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. V. Pavlov. Robotics Systems. TU-Sofia, 1997. 2. A. Ivanov. Flexible manufacturing systems. Mashinostroenie, Moscow, 1988. 3. A. Voichinskij. Flexible manufacturing systems Radio i sviaz, Moskow. 1997. 4. S. Nov. Handbook of industrial robots. V.1 and 2. Mashinostroenie, Moscow, 1989. 5. V. Timchenko. Robots I welding production, Technica, Kiev, 1988. 6. V. Pavlov. Design of industrial robots. TU-Sofia, 1993. 7. K.Assai et all. Industrial robot. Putting in operation and efficiency. Mir, Moscow, 1987.

DESCRIPTION OF THE COURSE Name of the course: Energy Effectiveness in Production and Ecology





LECTURER:

Prof. D.Sc. Kostadin Naplatarov (FA) – tel.965 29 42 , еmail: naplatarov@ tu-sofia.bg Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To study the how the wide spread industrial systems, aggregates, installations and technology is related by energy and ecology aspect of pollution of environmental nature.

DESCRIPTION OF THE COURSE: The main topics concern: energy effectiveness of industrial technology in ecological problems. Methods for monitoring control of air, water, and ground pollution and in aspect to decrease bad effect on environment, the production quality, price. In seminars problems concern with energy effectiveness and ecological protection is major issue.

PREREQUISITES: Control Theory, System Identification, Process Control Automation, Control Instrumentation , Physics, Mechanics, Electrical Measurements.


METHOD OF ASSESSMENT: Continuous assessment. Two one-hour assessments at mid and end of semester.


BIBLIOGRAPHY: 1 Шински Ф. Управление процессами по критерию экономии энергии. М., Мир, 1981. 2.Наплатаров К.Хр. Енергоикономично управление на процеси. С., ТУ, 1997. 3.Тодориев Н.Х. Енергетика и интензификация. С., Наука и изкуство, 1984. 4.Стырикович М.А., Э.Э. Шпильрайн. Энергетика, проблемы и перспективы. М. Энергетика, 1981. 5.Иванов Д. Инженерная экология. М.,1988. 6.Защита атмосферы от промышленных загрязений. М.,Металлургия, 1988.


Name of the course: Modelling and Optimisation of Biotechnological Processes





LECTURERS:

Assoc. Prof. Ph.D. Stoyan Nedelchev Stoynov (FA) – tel.: 965 3927, email: [email protected]


AIMS AND OBJECTIVES OF THE COURSE: To teach the students the most important methods of the modelling and optimization of the biotechnological processes.

DESCRIPTION OF THE COURSE: The biotechnology is multi-branch of science. This is a reason to introduce the knowledge of the modelling and optimization of the biotechnological processes. Modelling of the biotechnological processes includes two types of tasks. The first one is connected with the description of the mechanisms of the growth, substrate utilization and production of the strain – producers. The variables describing these processes are as follows: physical and chemical variables, and kinetics variables. Modelling reveals the correlation between two kinds of the variables. The second type of tasks concern: classification of the models, base principles of the modelling, models of the batch, fed-batch and continuous processes, problems of the identification of the biotechnological processes, methods of the dynamic optimization, state space models of the biotechnological processes

PREREQUISITES: Bioelectrical Engineering Fundamentals, System identification, Fermentation Technologies, Biotechnological measurements, Data Analysis of Biotechnology Processes.


METHOD OF ASSESSMENT: Continuous assessment. Laboratory works assessment is also taken into account


BIBLIOGRAPHY: 1. Staniskis J., Optimal Control of Biotechnical Processes, Vilinis, Mokslas, 1984; 2. Bastin G., D. Dochain, On - line Estimation and Adaptive Control of Bioreaktors, Lovian, Belgium,1990; 3. Standbury P.F.,A. Whitaker, Principles of Fermetation Technology, Pergamon Press, 1984; 4. Pontriagin L. S. at. all, Mathematical Theory of Optimal Processes, Mascow, Nauka, 1976; 5. Sebastian H.-J.,N.Sieber, Diskrete Dynamische Optimizirung, Leipzig, Akademische Verlagesellcshaft Geest & Portig K.,-G.,1981.


Name of the course: Programming of Robots and Robotic Systems





LECTURER:

Assoc. Prof. Ph.D. Vassil Balavessov (FA), tel.: 965 3073; email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: The course aims at proficiency in design and exploitation of robot control programmes, as well as at experience in programming of NC machines. By the end of the course the students should be able to program robots and robotized systems and to solve engineering problems related to industrial automation and robotic applications.

DESCRIPTION OF THE COURSE: Basic methods for programming of robots and robotic systems are studied in a close relation to flexible technology automation. Practical applications of robotic of robotic programming techniques and strategies are included, and special attention is paid to commercially available programming systems. The main topics concern: Programming of NC machines; Basic techniques for robot teaching; Real time operational systems; Algorithmic languages for textual robot programming: AML, VAL, RAPT, RAIL, TOROL and ACL.

PREREQUISITES: Robotic Manipulators; Information and Sensor Systems in Robotics; Logical Modelling and Programming; Artificial Intelligence; Control of Robots and Robotic Systems.

TEACHING METHODS: Lectures, using multimedia means, laboratory exercises using operatio-nal robot and robotized machining center, and a course assignment.

METHOD OF ASSESSMENT: Continuous assessment. Two written open-book tests assessments at mid and end of semester (40%), laboratories (20%), course work (40%)


BIBLIOGRAPHY: 1 Fu K. S., Gonzalez R. C., Lee C. S. G. Robotics: Control, Sensing, Vision and Intelligence, McGraw–Hill,. NY, 1989 (a Russian translation is available). 2 Shahinpoor, M. A Robot Engineering Textbook, Harper&Row, NY,1990 (a Russian translation is available). 3 Zamanov W., Karastoianov D., Sotirov. Z., Mechanics and control of robots, Sofia, 1993 (in Bulgarian). 4 Paul R. P., Robot Manipulators: Mathematics, Programming and Control, MIT Press, Cambridge, Mass., 1981. 5 Groover M.P., Weiss M., Nagel R.N. And Odrey N.G., Industrial Robotics: Technology, Programming and Applications, McGraw-Hill Book Company, New York, 1986.


L13O1 Autom. Control Systems Design and Realization L13O2 Analytical Measurements L13O3 Robots’ Drives and Control L13O4 Computer-Integrated Manufacturing Systems L13O5 Automaton Models in Biomedical Investigations L13O6 Robotized Technologies and Systems


Name of the course: Automatic Control Systems Design and Realization





LECTURER:

Assoc. Prof. Kamen Perev, PhD , tel.: 965-3459, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: The goal of this course is to present the contemporary methods for control systems design and to build some practical skills and abilities of students for digital control systems realization.

DESCRIPTION OF THE COURSE: The control systems design process begins with the system mathematical description by using the methods of mathematical modelling and identification. The next step is to analyze system behaviour and to evaluate the performance quality. A major part of the course is associated with introduction to the basic control systems design procedures. The classical design methods, both in time and frequency domain are given. These methods are further extended in presence of model uncertainty, where the approach of robust control is considered. Next some elements of modern control theory, like the pole placement and observer design methods are presented. Finally, certain practical issues for building control systems are examined. A classification of the main characteristics of control systems elements and the corresponding selection procedures are suggested.

PREREQUISITES: Engineering Methods for Linear Systems Analysis, System identification, Adaptive and optimal control, Computer Control Systems.

TEACHING METHODS: Class lectures and laboratory experiments. The laboratory experiments are performed on boards with electrical drive systems, analogue machines and digital computers.

METHOD OF ASSESSMENT:Written final examination and laboratory reports defence.


BIBLIOGRAPHY: 1. Tomov, I., Optimal and adaptive control systems. II part, TU – Sofia Publ., 1991. 2. Madjarov, N., Linear control systems, TU – Sofia Publ., 1999. 3. Madjarov, N., E. Haralanova, Engineering Methods for Linear Systems Analysis, TU – Sofia Publ., 2004. 4. Petkov, P., Multivariable control systems, TU – Sofia Publ., 1998. 5. Garipov, E., System identification, TU – Sofia Publ., 1997. 6. Garipov, E., Digital control systems, TU – Sofia Publ., 2004. 7. Ishtev, K., Automatic control theory, King Publ., 2000.


Name of the course: Analytical Measurements





LECTURER: Assist. Prof. Ph.D. Nikolay Stoyanov (FА), tel.: 965 34 63, еmail: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: The students to be informed with the methods and means for analytical measurements. Object of measurement is the consistance and concentration of gases , liquids , emulsions and suspensions.

DESCRIPTION OF THE COURSE: The course, includes more important methods of laboratory analysis as: optical , chromatographical , potentiometrical , polarographical, and ect. The main attention has been spared on the equipment of the physical and chemical measurements.

PREREQUISITES: The course has been built on the base of knowledge of the students during the lectures.

TEACHING METHODS: Lectures, supported with slides. Laboratory works with implementation of special scale models.

METHOD OF ASSESSMENT: Exam INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. М.В.Кулаков. Технологические измерения и приборы для химических производств. М., Химия, 1984. 2. В.А.Прохоров. Основы автоматизации аналитического контроля химических производств. М., Химия, 1984. 3. А.Нейков. Биотехнологични измервания и контрол. Технически Университет - София, 1990. 4. А. Нейков, К.Радонов, К.Джамбазис, Г.Вълевски. Методи, алгоритми и устройства за измерване и контрол в биотехнологията. Техника, С.,1992. 5. А. Нейков, К.Джамбазис, К.Кръстев. Лабораторни упражнения по биотехнологични измервания и контрол. Технически Университет - София, 1988. 6. J. Vana. Gas and Liguid Analysers. In:”Comprehensive Analytical Chemistry”, Vol.18, Pergamon Press,1982

DESCRIPTION OF THE COURSE Name of the course: Robot’s Drives and Control





LECTURER: Assoc. Prof. Ph.D. Eng. Rumen Ivanov Rainov (FA), Tel: 965-39-45, e-mail: [email protected]



AIMS AND OBJECTIVES OF THE COURSE: The aim is the students to receive preliminary information in the field of robotics, necessary in exploitation of robotics in industry as well as for further specialization in the field of robots’ technique.

DESCRIPTION OF THE COURSE: The course gives knowledge about construction of robots; methods for creation of kinematical and dynamic models of robots; sensors and sensors’ systems of robots; drives – pneumatically, hydraulic and electric; methods for control of programmable robots; planning and interpolation of trajectories.

PREREQUISITES: The course is based on “Electromechanical Devices”, “Control of Electromechanical Systems”, “Systems for Drives’ Control”, and “Automation of Manufacturing Mechanisms”.

TEACHING METHODS: Lectures assisted with slides, Laboratory works on physical and computerized models. Written materials on the Lectures, Laboratory works are given to students.

METHOD OF ASSESSMENT: A written exam in the end of VIII semester is carried out.


BIBLIOGRAPHY: 1. Фу К., Р.Гонсалес, К.Ли, Робототехника, М., Мир, 1989.; 2. под ред. Чл.кор. Макаров И.М., Робототехника и гибкие автоматизированные производства, кн.2, Приводы робототехнических систем, М., Высшая школа, 1986.; 3. под ред. Чл.кор. Макаров И.М., Робототехника и гибкие автоматизированные производства, кн.3, Управление робототехническими системами и гибкими автоматизированными производствами, М., Высшая школа, 1986.; 4. Егоров Ю.Н., Системы привода роботов, М., Л., издательство Ленинградского университета, 1982; 5. Юревич Е.И., Ю.Д.Андрианов, С.И.Новаченко и др., Системы управления промышленными роботами и манипуляторами, Л., издательство Ленинградского университета, 1980.

DESCRIPTION OF THE COURSE Name of the course: Computer Integrated Manufacturing Systems





LECTURER:

Assoc. Prof. Ph.D. V. Galabov (FA) – tel.965 2298, email: [email protected] Technical University of Sofia


AIMS AND OBJECTIVES OF THE COURSE: To present computer integrated manufacturing problems in various production and non production systems.

DESCRIPTION OF THE COURSE: The course studies the causes and mechanisms that have brought about the switch from the traditional organization of production systems to the CIM (computer integrated manufacturing) in the industrially developed countries, the major conceptual models of CIM, and their various implementations in practice. Te functional components of the CIM are considered in detail, as well as the engineering and programming tools for their implementation. Special attention is paid to integration technologies.

PREREQUISITES: Control Theory, Control Instrumentation, System Identification, Industrial Information Systems, Decision Making in Control Systems.


METHOD OF ASSESSMENT: Written examination


BIBLIOGRAPHY: 1. Rembold, U., B.O. Nnaji, A.Storr. CIM: Computeranwendungen in der Produktion. Addison-Wesley Publishing Company, 1994, Bonn, Paris, Massachusetts, New York, Tokyo; 2. Сапунджиев, Г.Н. Интегрирани системи за управление на производството. С., Изд. ТУ, 1993.; 3. Грувер, М., Э. Зимерс. САПР и автоматизация производства. М., Мир, 1987.; 4. Wildemann, H. Lean Management: Der Weg zur schlanken Fabrik. München, gfmt, 1992.; 5. Aft, L. Fundamentals of Industrial Quality Control. American Society for Quality Control, 1991, Milwaukee WI.; 6. Bernhard, R. et al. Integration of Robots into CIM. Chapman & Hall, 1992, London.; 7. Lange, R., G. Watzlawik. Lexikon der CA-Anwendungen (CAD, CAM, CAE, CAI, CIM), vde-verlag gmbh, 1994, Berlin.


Name of the course: Automaton Models in Biomedical Investigations





LECTURER:



AIMS AND OBJECTIVES OF THE COURSE: To provide the students with the methodological fundamentals for analysis and design of the systems and investigation of the biological and medical processes. To introduce the automaton grammars, logical functions, fuzzy data and fuzzy relations.

DESCRIPTION OF THE COURSE: The theoretical fundamental of this course is the automaton and artificial grammars theory. The biological and medical objects are investigated by automation models and artificial grammars. The main topics concern: Boolean algebra, Boolean functions, complete functional systems of the Boolean functions, graphs, automaton grammars, probability and deterministic grammars, threshold logic and threshold nets, fuzzy theory, fuzzy logic and fuzzy estimates.

PREREQUISITES: System Identification, Control Theory, Control Instrumentation.




BIBLIOGRAPHY: 1. Kisiov W. T., Theory of the Finite Automatons, Technika, Sofia, 1976; 2. Ore O., Graphs and Its Application, Moscow, Inosrannay Literatura, 1969; 3. Melihow A. N., Orientation Graphs and Finite Automatons, Moscow, Nauka, 1971; 4. Duboa D., Prad A., Theory of the Possibilities, Moscow, Radio I Swiyz, 1990.


Name of the course: Robotized Technologies and Systems





LECTURER:

Assoc.Prof. PhD Eng. Ivan Avramov, (FA), tel. 965 3991, email: [email protected], Technical University of Sofia

STATUS OF THE DISCIPLINE IN THE CURRICULUM: Optional for students in the Automation Information and Control Engineering BEng programme of the Faculty of Automation at the Technical University of Sofia. AIMS AND OBJECTIVES OF THE COURSE: To acquire basic information on the technical and economic characteristics and methods for introduction and operation of robotized production DESCRIPTION OF THE COURSE: The course introduces students to the technical and economic characteristics and methods for introduction and operation of robotized production. The typical features of contemporary production, automation levels, quantity criteria for evaluation of flexibility, organizational and structural models and the correlation in the technical characteristics of structural components – industrial robots, technological machines, inter-operational transport, inter-operational and final automated warehouses are all studied. The robotization of auxiliary and main technological operations in the machine-building, electronic, textile and food, wine and tobacco industries are examined. Robotized complexes for mechanical and physical and chemical treatment, for welding, painting, laying decorative finish, transportation of liquid metal, cleaning, installation, measurement and control are studied at system level. Real production operations are modelled on training stands and they serve for laboratory seminars. PREREQUISITES: Robotic Manipulators, Information and Sensor Systems in Robotics, Control of Robots and Robotic Systems. TEACHING METHODS: Lectures and laboratory seminars. Use of overhead projector. METHOD OF ASSESSMENT: Written examination, followed by discussion on a date fixed by the lecturer. INSTRUCTION LANGUAGE: Bulgarian BIBLIOGRAPHY: 1. V. Pavlov. Robotics Systems. TU-Sofia, 1997. 2. A. Ivanov. Flexible manufacturing systems. Mashinostroenie, Moscow, 1988. 3. A. Voichinskij. Flexible manufacturing systems Radio i sviaz, Moskow. 1997. 4. S. Nov. Handbook of industrial robots. V.1 and 2. Mashinostroenie, Moscow, 1989. 5. V. Timchenko. Robots I welding production, Technica, Kiev, 1988. 6. V. Pavlov. Design of industrial robots. TU-Sofia, 1993. 7. K.Assai et all. Industrial robot. Putting in operation and efficiency. Mir, Moscow, 1987.

description of the course baice42 6 4 lecturer...

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