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FACULTY OF ENGINEERING AND TECHNOLOGY

DEPARTMENT OF INSTRUMENTATION AND CONTROL ENGINEERING

M.Tech: ELECTRONICS AND CONTROL ENGINEERING (FULLTIME) (For students admitted in 2008-2009 onwards)

CURRICULUM SEMESTER I

Code Course L T P C

Theory MA537 Mathematics applied to Electronics 3 0 0 3 IC0503 Advanced Control Theory 3 1 2 4 IC0505 Advanced Process Control 3 2 0 4 IC0507 Advanced Electronic circuits 3 2 0 4 ICXXX Elective-I 3 0 0 3

Total 15 5 2 18 Total Contact hours 22 SEMESTER II

Code Course L T P C

Theory IC0502 Data Communication 3 0 0 3 IC0504 Computer Control of Processes 3 1 2 4 IC0506 Digital Signal Processing 3 2 0 4 IC0508 Microprocessor based Control 3 2 0 4 ICXXX Elective – II 3 0 0 3

Total 15 5 2 18 Total Contact hours 22 SEMESTER III

Code Course L T P C

Theory ICXXX Elective III 3 0 0 3 ICXXX Elective IV 3 0 0 3 ICXXX Elective V 3 0 0 3 IC0603 Project work phase I 0 0 6 6

Seminar 0 0 0 1 Total 9 0 6 16 Total Contact hours 15

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SEMESTER IV

Code Course L T P C IC0602 Project Work Phase II 0 0 18 18

Total 0 0 18 18

TOTAL CREDITS TO BE EARNED FOR THE AWARD OF THE DEGREE: 70

LIST OF ELECTIVES SEMESTER I

Code Course L T P C

IC0551 Advanced Industrial Instrumentation 3 0 0 3 IC0553 Bio medical Instrumentation 3 0 0 3 IC0555 Virtual Instrumentation 3 0 0 3 IC0557 Industrial Data Networks 3 0 0 3

SEMESTER II

Code Course L T P C IC0552 Embedded System Design 3 0 0 3 IC0554 Neural networks & Fuzzy control 3 0 0 3 IC0556 Adaptive Control 3 0 0 3

SEMESTER III

Code Course L T P C IC0651 Opto Electronics & Lasers 3 0 0 3 IC0653 VLSI Design 3 0 0 3 IC0655 Robotics & Automation IC0657 Optimal Control & Filtering 3 0 0 3 IC0659 Industrial Drives and Control 3 0 0 3 IC0661 System Identification 3 0 0 3 IC0663 Process control and Instrumentation Technology 3 0 0 3 IC0665 Linear and Non Linear Control 3 0 0 3 IC0667 Industrial Automation 3 0 0 3 IC0669 Process Modeling, Design and Simulation 3 0 0 3 IC0671 Fundamentals of MEMS 3 0 0 3

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SCHEME OF EXAMINATION

Course

Duration in

hours

Internal marks

External marks

Total

Passing Minimum

External Aggregate

All theory and practical courses

3 hours

30

70

100

35

50

Project Work

Phase I 60 _ 60

Phase II 120 _ 120

Report evaluation

_ 120 120

Viva voce _ _ 300

Total 600 --- 300

Seminar 100 - - - 100 --- 50

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SEMESTER – I

L T P C MA537 MATHEMATICS APPLIED TO ELECTRONICS & CONTROL 3 0 0 3

Prerequisite Knowledge of matrix computations, Eigen values and Euler’s equation

UNIT 1 ADVANCED MATRIX THEORY 9 Eigen values-Eigen vectors-Eigen-values using QR transformations – singular valued decomposition and applications - pseudo inverse - least squares approximations UNIT 2 CALCULUS OF VARIATIONS 9 Functional - Euler’s equation and solutions for several variables, higher derivatives direct method – Reileigh – Ritz Method - Isoperimetric problems. UNIT 3 LINEAR PROGRAMMING 9 Simplex Algorithm - Two phase and Big M-Techniques - Duality theory - Dual Simplex Method - Integer Programming. UNIT 4 NON-LINEAR AND DYNAMIC PROGRAMMING 9 Non-Linear Programming - Kuhn Tucher conditions - Formulation of Dynamic Programming - Forward and Backward recursive equations - Formulation of Dynamic programming. UNIT 5 RANDOM PROCESSES 9 Classification - stationary random process - markov process - Poisson process - Gaussian process - Markov chains - Auto correlation - Cross correlation - response of linear systems for white noise. REFERENCES: 1. Stewart, G.W., Introduction to Matrix Computation, Academic press, New york, 1973. 2. Elsgoltis, Differential Equations and Calculus of Variations, MIR Publishers, Moscow, 1970. 3. Alberto - Ieon - Garcia, Probability Models in Electrical and Computer Engineering addision Weslwy Publishing Co., 1989. 4. Ochi, M.K., Applied Probability and Stochastic Processes, John Wiley and sons, 1992. 5. Taha, H.A., Operations research - An Introduction, Mac Millan Publishing Co., 1982.

L T P C IC0503 ADVANCED CONTROL THEORY 3 1 2 4

Prerequisite Knowledge of controllers, transition matrix and Frequency response plots.

UNIT 1 INTRODUCTION TO DESIGN AND CLASSICAL PID CONTROL 9 Introduction to design- Effect of adding a pole and zero to a system- compensating networks types-cascade and feedback- – P, PI, PD and PID controllers design - introduction to feedback compensation UNIT 2 CLASSICAL APPROACH AND COMPENSATOR DESIGN 9 Design of lag, lead, lead-lag compensators – Design using bode plots – Polar plots – Nichols charts – root locus and Routh Hurwitz criterion. UNIT 3 STATE VARIABLE DESIGN 9 Concepts of State, State variable and State space model- State space representation of linear continuous time systems using physical variables, phase variables and canonical variables-diagonalisation-State space representation of discrete time systems-Solution of state equations-computation of state transition matrix

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UNIT 4 CONTROLLABILITY AND DESIGN OF ORDERS Concepts of Controllability and Observability – linear time invariant systems-pole placement by state feedback-Ackerman’s Formula-Observers-full order and reduced order. UNIT 5 NON LINEAR SYSTEMS Non-linear systems-properties-common physical non-linearities-dead zone, relay, saturation nonlinearities-phase plane method-singular points-phase trajectories-stability analysis by Describing function method. REFERENCES 1. G. C. Goodwin and etal, “ Control system design’, Pearson Education, 2003. 2. G. F. Franklin and etal, “ Feedback Control of Dynamic Systems”, Pearson Education systems, 2002. 3. John S. Bay, “ Linear State Space Systems”, 4. M.Gopal, “Control Systems Principles and Design”, Tata MacGrawHill, New Delhi, 1998 5. Nagoorkani ,”Advanced Control Systems” .

L T P C IC0505 ADVANCED PROCESS CONTROL 3 2 0 4

Prerequisite Knowledge of basic control theory, Laplace Transforms, PID controllers

UNIT 1 INTRODUCTION TO CHEMICAL PROCESS CONTROL 9 Classification of control variables-Hardware elements-Use of digital computers in process control- -Development of mathematical model for process control-State variables and state equations for chemical process-Dead time--The input output model for control purposes-- Degrees of freedom. UNIT 2 COMPUTER SIMULATION AND LINEARIZATION 9 Computer Simulation of process dynamics—Linearization of systems with one variable—Deviation variables—Linearization of Systems with many variables. Lap lace transforms of some basic functions—Derivatives—Integrals UNIT 3 TRANSFER FUNCTIONS AND INPUT OUTPUT MODELS 9 Transfer function of process with single output—with multiple outputs—Poles and Zeros of Transfer function—Qualitative analysis of the response of system. Dynamic Behaviour of First Order Systems- Process Modelled as First Order Systems-Dynamic Response of a Pure Capacitive Process-- -First Order Lag System UNIT 4 DYNAMIC BEHAVIOUR OF SECOND ORDER AND HIGHER ORDER SYSTEMS 9 Second Order System—Dynamic Response of SOS—Multicapacity Processes as SOS –Inherently Second Order Processes—N Capacitance in Series –Dynamic Systems With Dead Time. UNIT 5 DYNAMIC BEHAVIOUR OF FEEDBACK CONTROLLED PROCESSES Concepts-Types of Feedback Controllers---Measuring Devices(Sensors) -Transmission Lines—Final Control Elements-- Block Diagram and Closed Loop Response-Effect of Proportional Control-Integral Control-Derivative Control on the Response of a Controlled Processes. REFERENCES: 1. George Stephanopoulos, "Chemical Process Control", Prentice Hall India 2. Harriot P., “Process Control”, Tata McGraw-Hill, New Delhi, 1991. 3. Curtis Johnson, “Process control instrumentation technology”

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L T P C

IC0507 ADVANCED ELECTRONIC CIRCUITS 3 2 0 4 Prerequisite Knowledge of Active devices,Op amps, Filters and design

UNIT I MODELS FOR IC ACTIVE DEVICES 9 Models For IC Active Devices : Large Signal and Small Signal Models and Behaviors for BJT- JFET and MOS. Bipolar and MOS IC Technology : Fabrication of Bipolar Integrated Circuit and MOSFET- Active Devices in Bipolar and MOS ICs UNIT II SINGLE TRANSISTOR AND TWO TRANSISTOR AMPLIFIERS 9 Device Model Selection for Analog Circuits- Single and Two Stage Transistor Amplifiers- Emitter Coupled Pairs- Source-Coupled JFET Pairs- Device Mismatch Effects in Differential Amplifier UNIT III CIRCUIT CONFIGURATION FOR LINEAR IC 9 Current Mirror- Current Sources - Analysis of Difference Amplifiers with Active Loads- Supply and Temperature Independent Biasing Techniques- Voltage References UNIT IV OPERATIONAL AMPLIFIER AND FREQUENCY RESPONSE OF ICs 9 Operational Amplifier: Analysis of Operational Amplifier Circuits- Slew Rate- Design of MOS Operational Amplifier- CMOS voltage references- MOS. Frequency Response of ICs: Signal and Multistage Amplifier Frequency Response- Frequency Response of 741 Op Amp. UNIT V NONLINEAR ANALOG CIRCUITS AND NOISE IN ICs 9 Nonlinear Analog Circuits: Analysis of Four Quadrant and Variable Transconductance Multiplier- VCO- Closed Loop Analysis of PLL. Noise in ICs: Sources of Noise- Effects of Noise-Noise Bandwidth- Circuit Noise Calculation. REFERENCE 1. Gray and Meyer, “Analysis and Design of Analog ICs ", Wiley International, 1996 2. Gray, Wooley, Brodersen, “Analog MOS Integrated Circuits ", IEEE Press, 1989. 3. Kenneth R. Laker, Willy M.C. Sansen, William M.C.Sansen, “Design of Analog Integrated Circuits and Systems ", McGraw Hill, 1994 4. Behzad Razavi, “Principles of Data Conversion System Design ", S. Chand & Company Ltd, 2000

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SEMESTER II

L T P C IC0502 DATA COMMUNICATION 3 0 0 3

Prerequisite Knowledge of Basic communication Engineering, Computer Networks

and Internet.

UNIT 1 DATA COMMUNICATION 9 Data transfer modes, synchronous communication ,asynchronous communication. Telephone system, Multiplexers, concentrators and front end processors, Circuit switching, message switching and packet switching UNIT 2 OSI LOWER LAYERS 9 General issues in the transport of data traffic over networks – concept of OSI layer – physical layer standards – data link layer ;ARQ schemes and their analysis UNIT 3 NETWORK LAYER 9 Network layer : Topology , routing ,flow control - congestion control, internet working, delay models based on queuing theory UNIT 4 OSI HIGHER LAYERS 9 Higher protocol layers: Transport layer, session layer, presentation layer, design issues .application layer file transfer of concurrency control. UNIT 5 APPLICATIONS 9 Email, Fax, Telex, Data compression techniques IEEE standards for LAN REFERENCE BOOKS: 1. Andrew S. Tanenbaum “Computer Networks”, PHI, 1990. 2. W. Stalling, “Data and Computer communication” 2nd edition, NY, Macmillan, 1988 3. Douglas .E.Comer “Computer Networks and Internets” Addison Wesley , 2000 4.M.Schwartz “Computer Communication”, McGraw Hill, 1983

L T P C IC0504 COMPUTER CONTROL OF PROCESSES 3 1 2 4

Prerequisite Knowledge of Digital Control System, Z Transforms, Stability, and

Process Modeling

UNIT 1INTRODUCTION TO COMPUTER BASED CONTROL 9 Basic building blocks of a computer control system – Data acquisition system – Computer control loops – Supervising control – Direct digital control – Conversion of continuous to discrete - time systems. UNIT 2 ANALYSIS OF DISCRETE SYSTEMS 9 Discrete transfer function – Z transform – Pulse transfer function – Data holds – open loop response and closed loop response of discrete-data systems – Modified Z transforms – State space representation of discrete-data systems. UNIT 3 DESIGN OF DIGITAL CONTROL ALGORITHMS 9 Digital PID algorithm – Position and velocity forms – Deadbeat algorithm – Dahlin’s algorithm, Smith predictor algorithm – Kalman algorithm. UNIT 4 STABILITY OF DISCRETE – DATA SYSTEMS 9 Area of stability in Z domain – Jury’s stability test – Schurcohn method – Root locus method of discrete-data systems-Process modeling from step test data – Pulse testing method – Time domain process identification.

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UNIT 5 PLC 9 General Introduction to PLC-Basics if PLC program-PLC Programming. REFERENCES 1. Deshpande P.B. & Ash R.H – Computer Process Control – ISA publication, USA 1995. 2. George Stephanopoulos – Chemical Process Control – An Introduction to Theory & Practice.- Prentice Hall of

India. 3. Franklin G.F., Michael Workman & Powel J.D – Digital Control of Dynamic Systems – Addison Wesley

Publishing. 4. M.Gopal – Digital Control & Static variable methods. 5. M.Chidambaram ,” Computer Process Control”.

L T P C IC0506 DIGITAL SIGNAL PROCESSING 3 2 0 4

Prerequisite Basic knowledge of filters, Z Transforms, Signal Processing, and

Interfacing

UNIT 1 REVIEW OF DISCRETE TIME SYSTEMS 9 Discrete- Time Signals and Sequences- Stability and causality- frequency domain Representation of Discrete- Time signals and systems- Two dimensional Sequences and systems- Z Transform theorems and properties- Two dimensional Z-transform. Structures for discrete time system- direct form, cascade and parallel forms- lattice structure. UNIT 2 DISCRETE FOURIER TRANSFORM 9 Introduction- Representation of periodic sequences- The discrete Fourier Series- Properties of the discrete Fourier Sampling - Z-Transform- Discrete Fourier Transform- Linear Convolution- m Decimation- in- time and Decimation -in - frequency- FFT algorithms- Two dimensional Fourier Transform. UNIT 3 DIGITAL FILTER DESIGN TECHNIQUES 9 Introduction - Design of IIR - Digital filters from Analog filters- Analog Digital Transformation- Properties of FIR Digital filters- Design of FIR filters using windows- A comparison of IIR and FIR filters. UNIT 4 EFFECTS OF FINITE REGISTER- LENGTH IN DSP 9 Introduction - Effects of coefficient on quantization- Quantization in sampling- Analog signals- Finite Register Length- Effects in Realization of Digital filters- Discrete Fourier Transform Computations. UNIT 4 LINEAR PREDICTION AND ESTIMATION 9 Linear Prediction , prediction error, whitening filter, inverse filter, Levinson, Recursion, Lattice realization- Linear estimation , linear mean squared estimation, Weiner filters, Kalman filters. REFERENCES 1. Alah Oppen Leinn.v and Ronals W. Scafer, Digital Signal Processing, Prentice Hall of India Pvt. Ltd., Newdelhi,1989. 2. John.H Karl, An Introduction to Digital Signal Processing,Academic Press INC, Harcount Brace Joranorict 3. Douglas F.Elliot, Handbook of Digital Signal Processing-Engineering Applications, Academic Press, 1987

King.,Robert. 4. King,Robert, Digital fiHering in one or two dimensions, Design and applications-Plennum Press 1989 5. V.Oppenheim and Ronald N.Schafer, Discrete Time Signal Processing, Prentice Hall of India Pvt. Ltd.,

Newdelhi-1992 6. John G Proakis, Dimitris G Manolakis, Digital Signal Processing, Prentice Hall of India Pvt. Ltd., Newdelhi-1995.

L T P C

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IC0508 MICROPROCESSOR BASED CONTROL 3 2 0 4 Prerequisite Basic knowledge of Micro Controllers, Microprocessors, Interfacing and

Assembly language programming

UNIT 1REVIEW OF 80286, 80386, 80486 PROCESSORS 9 Introduction to Microprocessor & Microcontroller – Comparing microprocessor and microcontroller. Features of 80286 – Internal architecture of 80286 – Real addressing mode – Protect, virtual address mode – Privilege – Protection.80286 bus interface – 80286 minimum mode configuration UNIT 2 PERIPHERAL & INTERFACING DEVICES 9 Memory interfacing – External memory & memory space decoding - I/O interfacing – 8255 operation – Timer 8253 – DMA Controller- Floppy Disk Controller 8272 – CRT controller 8275, 6845 – USART 8251. UNIT 3 INTRODUCTION TO MICROCONTROLLER 9 Four, eight, sixteen and thirty two bit s microcontrollers – Architecture of 8051 – Signal description of 8051 – Operational features – Ports – Memory – Interrupts. UNIT 4 8096 MICRO CONTROLLER 9 Introduction –8096 Architecture-CPU Operation – Interrupt Structure – Timers – HSI / HSO - Analog Interface – Serial Ports- I/O Ports - Watchdog Timers.

UNIT 5 ASSEMBLY LANGUAGE PROGRAMMING & CONTROL APPLICATIONS 9 Instruction format – Addressing modes – Instruction set – Simple programs. Microprocessor for control applications- Microcontroller based control applications- Pulse measurement – D/A and A/D conversions – Displays. REFERENCES: 1. A.K. Ray & K.M.Bhurchandi – Advanced Microprocessor & Peripherals, Architecture, Programming & Interfacing –Mc Graw Hill 2000 2. Barry B. Brey - The Intel Microprocessor 8086/8088, 80186, 80286,80386,80486,Pentium proprocessor - Architecture, Programming & Interfacing,PHI 1998 3. Mohamed Rafiquazzaman – Microprocessors and Microcomputer Based System – UBS,New Delhi 1991. 4. Kenneth.J. Ayala – The 8051 Microcontroller , Architecture, Programming & Applications- WPC 1996. 5. John.B.Peatman,Design with Microcontrollers McGraw Hill ,1989.

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SEMESTER III Elective III Elective IV Elective V Project work phase I Seminar

SEMESTER IV

Project Work Phase II

ELECTIVES

L T P C IC0551 ADVANCED INDUSTRIAL INSTRUMENTATION 3 0 0 3

Prerequisite Knowledge of different types of Transducers, Sensors and Process

Instruments.

UNIT 1 BASIC TRANSDUCERS 9 Classification of transducers – Potentiometers – Differential transformers – Resistance strain gauges – Capacitance sensors – Eddy current sensors – Piezoelectric sensors - Photo-electric sensors – Hall effect sensors – Electro dynamic sensors – Nuclear radiation sensors – Ultrasonic sensors – Smart sensors – Fibre optic sensors – Semiconductor IC sensors. UNIT 2 MEASUREMENT OF TEMPERATURE 9 Temperature measurement – calibration standard – basic fixed points – secondary fixed point – filled in system thermometer – bimetallic thermometer – Resistance temperature Detectors--thermocouple – industrial circuits – isothermal block reference junction technique – RTD 3 lead compensation – thermistors – IC temperature sensors – radiation methods – broad band radiation thermometer – 2 color radiation thermometry – installation of temperature measuring device – special material configuration and techniques. UNIT 3 MEASUREMENT OF FLOW 9 Mechanical type flow meter – reciprocating piston type – rotating disc type – helix and other types – van type – displacement meter – inferential types – turbine types – obstruction type flow meter – orifice plate – flow nozzle, venturi, Dall tube – variable area flow meter – electromagnetic flow meter – vortex flow meter – ultrasonic flow meter – mass flow meter – calibration of flow meter. UNIT 4 MEASUREMENT OF PRESSURE 9 Types of pressure measurement devices. Dead weight piston gauge Manometer – McLeod gauge – mechanical methods – different types of manometers – elastic elements – measurement of high pressure – low pressure - thermal conductivity gauges – ionization gauges – I to P / P to I converters – transmitters – testing of pressure gauges UNIT 5 MEASUREMENT OF DENSITY 9 Measurement of Density – Viscosity – PH, Conductivity, turbidity, humidity, moisture – introduction to chromatography & spectrometry. REFERENCES 1. Doeblin E.O., Measurement systems – application and design. IV edition 1990 McGraw Hill publishing company Ltd., 2. D.Patranabis, Principles of Industrial instrumentation, II edition 1996. TMH publishing company Ltd., 3. Jain R.K. Mechanical & Industrial measurement , Reprinted 1996. Khanna publishers.

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L T P C IC0553 BIO MEDICAL INSTRUMENTATION 3 0 0 3

Prerequisite Basic knowledge of Medical Electronics, Bio Sensors, Bio Statistics,

Lasers and X-rays

UNIT 1 BASIC CONCEPTS OF BIO MEDICAL INSTRUMENTATION 9 Terminology – Generalised medical instrumentation system – Measurement constrains – Classification – Interfacing and modifying inputs – Bio statistics – Static and dynamic characteristic – Regulation of medical devices – Electrical safety in medical environment.

UNIT 2 BASIC SENSORS AND SIGNAL PROCESSING 9 Displacement measurements – Resistive sensors – Bridge circuits – Inductance, capacitance and piezo electric sensor – Temperature measurements – Thermocouples – Radiation thermometry – Fibre optic temperature sensors – Optical measurements – Op-amp circuits – Phase sensitive demodulation – Oscillographic, galvanometric and potentiometric recorders – Microcomputers in bio medical instrumentation. UNIT 3 BIO POTENTIALS AND MEASUREMENTS 9 Electric activity and excitable cells – Functional organization of peripheral nervous system. ENG, EMG, ECG, EEG & MEG – Bio-potential electrodes – Electrolyte interface. Polarization – Body surface recording electrodes – Electrodes for electric simulation of tissues – Practical hints for using electrodes – Bio potential amplifiers. UNIT 4 BLOOD PRESSURE, FLOW AND SOUND MEASUREMENT 9 Direct and indirect blood pressure measurement and analysis – Bandwidth requirement – Typical waveforms – Phono-cardiography – Tonometry – Electro magnetic and ultrasonic flow meters – Photo plethysmography.

UNIT 5 CLINICAL MEASUREMENT AND IMAGING SYSTEMS 9

Respiratory instruments – Transducers, spirometers, pulmonary measurements and instruments – Oxymeter – Laser application in medicines – Pulsed ruby, Nd Yag, Argon and Carbon-dioxide lasers – X-ray machines – Fluoroscopic machines, thermogram equipments – Ultrasonic imaging – Scanning methods and applications – Image evaluation and processing in medical field – Artificial assist devices. REFERENCES:

1. Khandpur R.S., “Handbook of Bio-medical Instrumentation”, Tata McGraw-Hill,Publication Company, 1989. 2. Dean D.E. Marre A., “Bio electronic Measurements”, Prentice Hall, 1983. 3. All Evans, “The Evaluation of Medical Images”, Adam Hilger publication, 1981. 4. John G.Webster, “Medical Instrumentation Application and Design”, John Wiley and Sons, 1999. 5. Cromwell. L.Fred J.Webbell, “Bio medical Instrumentation and Measurements”, Prentice Hall, 1995.

L T P C IC0555 VIRTUAL INSTRUMENTATION 3 0 0 3

Prerequisite Basic Knowledge of Graphical programming,Interface, Data Acquisition,

Counters and timers

UNIT I REVIEW OF VIRTUAL INSTRUMENTATION 9 Historical perspective, advantages, etc., block diagram and architecture of a virtual instrument. UNIT 2 DATA – FLOW TECHNIQUES, VI PROGRAMMING TECHNIQUES 9 Graphical programming in data flow, comparison with conventional programming. Vis and sub-Vis, loops and charts, arrays, clusters and graphs, case and sequence structures, formula nodes, local and global variables, string and file I/O.

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UNIT 3 DATA ACQUISITION 9 ADC, DAC, DIO, counters & timers, PC hardware structure, timing, interrupts, DMA. UNIT 4 INSTRUMENT INTERFACE 9 Software and hardware installation, current loop, RS232/RS485, GPIB, USB & PCMCIA. UNIT 5 ANALYSIS TOOLS AND APPLICATION 9 Some tools from the advanced analysis tools relevant to the discipline may be included e.g. Fourier Transform, power spectrum, correlation methods, windowing & filtering. VI applications in various fields – VISA and IVI – Image acquisition and processing. REFERENCES: 1. Gary Johnson, ‘Lab view graphical programming’, II Ed., McGraw Hill, 1997. 2. Lisa K Wells & Jeffrey Travels, ‘Lab view for everyone’, Prentice Hall, 1997. 3. Sokoloff, ‘Basic Concepts of lab view 4’, Prentice Hall, 1998. 4. S. Gupta, J.P. Gupta, ‘PC interfacing for Data Acquisition & Process Control’, 2nd Ed., Instrument Society of

America, 1994. L T P CIC0557 Industrial Data Networks 3 0 0 3

Prerequisite Nil

PURPOSE To introduce the concepts, terminologies and technologies associated with industrial Data Networks. INSTRUCTIONAL OBJECTIVES To make the students to get familiarized with different Buses such as Profibus, Modbus, Fieldbus, AS-I interface and Devicenet. RS – 232 and RS – 485 : ISO-OSI model – EIA 232 interface standard – EIA 485 interface standard – EIA 422 interface standard - 20mA current loop – Serial interface converters.

Modbus, Data Highway (Plus) And Hart Protocols :MODBUS protocol structure – Function codes – Troubleshooting – Data highway (plus) protocol – Review of HART Protocol.

As – Interface (As-I) And Devicenet : AS interface:- Introduction, Physical layer, Data link layer and Operating characteristics. Devicenet:- Introduction, Physical layer, Data link layer and Application layer.

PROFIBUS PA/DP/FMS and FF :Profibus:- Introduction, Profibus protocol stack, Profibus communication model, Communication objects, System operation and Troubleshooting – Foundation fieldbus versus Profibus.

Industrial Ethernet:- Introduction, 10Mbps Ethernet and 100Mbps Ethernet - Radio and wireless communication:- Introduction, Components of radio link, the radio spectrum and frequency allocation and Radio modems – Comparison between various industrial networks.

TEXT BOOKS

1. Mackay, S., Wrijut, E., Reynders, D. and Park, J., “Practical Industrial Data Networks Design, Installation and Troubleshooting”, Newnes Publication, Elsevier, 1st Edition, 2004.

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2. Buchanan, W., “Computer Busses”, CRC Press, 2000. REFERENCE BOOKS

1. Tanenbaum, A.S., “Modern Operating Systems”, Prentice Hall of India Pvt. Ltd., 2003. 2. Rappaport,T.S., “Wireless Communication: Principles and Practice” 2nd Edition, Prentice Hall of India, 2001. 3. Stallings, W., “Wireless Communiction and Networks”, 2nd Edition, Prentice Hall of India, 2005.

L T P C IC0552 EMBEDDED SYSTEM DESIGN 3 0 0 3

Prerequisite Basic knowledge of Micro Controllers, Signal Processing, Interfacing and

communication networks

UNIT 1 INTRODUCTION TO EMBEDDED SYSTEMS 9 Embedded system-Processor in the system-Software embedded in to system-Exemplary embedded system-Embedded system on chip-Structural units in processor-Memory selection for embedded system-Memory map-DMA-Interfacing peripherals. UNIT 2 HARDWARE ARCHITECTURE FOR EMBEDDED SYSTEMS 9 Architecture of 8-bit microcontroller-ARM processor-Architecture of ADSP 218X,MAC,ALU –Architecture of TMS 320C5416 processor-Comparison of CISC & RISC processor UNIT 3 DEVICES, BUSES AND DEVICE DRIVERS 9 I/O devices-Timer and counting devices-Serial communication-communication parameters- Serial communication using I^2C, CAN, RS-232, RS-485 and USB-Device drivers with and without ISR-Interrupt servicing mechanism-Context switching, deadline and Interrupt latency. UNIT 4 RTOS 9 Operating system services-I/O sub systems-Network operating system-Real time and embedded system operating system-Interrupt routine in RTOS environment-RTOS Task scheduling models-Performance metric in scheduling models-IEEE standard POSIX functioning Embedded Linux Internals-OS security issue-Mobile OS-need of RTOS-Use of mc/OS2-use of Vx-works. UNIT 5 HARDWARE-SOFTWARE CO DESIGN 9 Requirement of embedded system-challenges and issues in embedded software development system-trends in embedded software development-Design cycle in development phase-Uses of emulator and in-circuit emulator. Application of embedded system – control system and industrial automation, handheld computer, IVR system, and GPS receivers. REFERENCES: 1. Embedded system by Rajkamal, Tata McGraw hill 2. ADSP 218X Manual 3. Programming for embedded system by Dr.K.V.K.K.Prasad, wiley.

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L T P C IC0554 NEURAL NETWORKS AND FUZZY CONTROL 3 0 0 3

Prerequisite Basic knowledge of Neural Architectures, Algorithms, Neural Controller

UNIT 1INTRODUCTION & DIFFERENT ARCHITECTURE OF NEURAL NETWORK 9 Introduction – Artificial Neural Network – Biological Neural Networks – Typical Architectures – Setting Weights – Common Activation Functions – McCulloch Pitts Neuron: Architecture, Algorithm, Application – Simple neural networks for classification: Architecture, Biases and Threshold, Linear separability – Hebb Net Algorithm and application – perceptron learning convergence theorem – delta rule. UNIT 2 ARCHITECTURE 9 Back propagation –architecture –algorithm-derivation of learning rules –number of hidden layers- learning factors-Hopfield neural net : architecture – algorithm –applications. UNIT 3 NEURAL CONTROLLER 9 Neural network based on competition: fixed- weight competitive nets- kohonen self organizing maps and applications. Adaptive Resonance theory: Basic architecture and operation. Neural controller for a temperature process. UNIT 4 FUZZY CONTROL 9 Basic concepts of fuzzy sets – Relational equation – fuzzy logic control – fuzzification – defuzzification –knowledge base – Decision making logic –membership functions – rule base. UNIT 5 FUNCTION DIAGRAMS 9 Fuzzy logic controller: functional diagram, membership functions: triangular, trapezoidal- scale factors. Fuzzification: membership value assignments using intuition –knowledge base. Defuzzification : max-membership principle – centeroid method – weighted average method –rule. Choice of variables-derivation of rules- case study: fuzzy logic controller design for a temperature process. REFERENCE BOOKS: 1. Timothy J.Ross, Fuzzy logic with Engineering Applications, McGraw Hill,New york, 1996. 2. Kosko.B, Neural Network and fuzzy systems, Prentice Hall of India Pvt. Ltd., New Delhi,1992. 3. Robert .J.Schalkoff, Artificial Neural networks, McGraw Hill,Singapore, 1998 4. Laurene Fausett, Fundamentals of Neural Networks, Prentice Hall, New Jersey, 1994. 5.Driankov D.,Helledorn H., M.Reinframe, An Introduction to fuzzy control ,Narosa publishing Co.,New,Delhi 1996

L T P C IC0556 ADAPTIVE CONTROL 3 0 0 3

Prerequisite Basic knowledge of Control Systems, Multi Variable Process, Self

Tuning and Process Control.

UNIT 1 INTRODUCTION 9 Definitions – Essential aspects – Classifications of adaptive control systems. UNIT 2 MODEL REFERENCE ADAPTIVE SYSTEMS 9 Different configurations and classifications of MRAC – Mathematical description – Direct and indirect model reference adaptive control – MIT rule for continuos time MRAC systems – Lyapunov approach and hyper stability approach for continuous time and discrete time MRAC systems – Multivariable systems – Stability and convergence studies. UNIT 3 SELF TUNING REGULATORS 9 Different approaches to self-tuning – Recursive parameter estimation – Implicit and explicit STR – LQG self-tuning – Convergence analysis – Minimum variance and pole assignment approaches to multivariable self-tuning regulators.

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UNIT 4 RECENT TRENDS 9 Recent trends in self-tuning – Robustness studies – Multivariable systems - Model updating – General-purpose adaptive regulator UNIT 5 APPLICATION 9 Application to power systems – Electric drives – Process control- Distillation Column, Dryers, Pulp dryer, chemical reactor. REFERENCES:

1. Chalam, V.V., “Adaptive Control Systems”, Techniques & Applications, Marcel Dekker, Inc. NY and Basel, 1987.

2. Eveleigh, V.W., “Adaptive Control and Optimisation Techniques”, McGraw-Hill, 1967. 3. Narendra and Annasamy, “Stable Adaptive Control Systems”, Prentice Hall, 1989. 4. Astry, S. and Bodson, M., “Adaptive Control”, Prentice Hall, 1989. L T P C

IC0651 OPTO ELECTRONICS & LASERS 3 0 0 3 Prerequisite Knowledge of Filter Optics, Optical Devices, Sensors, Laser and Smart

Structures.

UNIT 1 FIBER OPTIC COMMUNICATION 9 Optical Fiber – types – characteristics – Light propagation through optical fiber – losses – Numerical aperture – source coupling – splices and connectors – LED, LCD, PIN, APD- Solar Cells – Optical fiber communication. UNIT 2 FIBER OPTIC SENSORS 9 Fiber optic sensors – Temperature, Pressure, Level – Flow sensors – Electrical and magnetic field sensors – Polarization sensors – Optical Gyroscope. UNIT 3 LASERS & MODULATORS 9 Properties of Laser light – Temporal Coherence – Spatial Coherence – Directionality - Laser rate equation – Q switch – mode locking – Cavity dumping – Electro optic modulator – Magnetic optic modulator – Acosta optic modulator- Types of lasers – Solid state Lasers – Gas Lasers – Liquid Lasers – Holography & its Applications. UNIT 4 LASERS & APPLICATIONS 9 Laser applications – Harmonic generation – stimulated Raman Emission – Laser in Chemistry – Rotation of the earth- Laser isotope separation – Laser material Processing – Welding , Drilling, cutting – Laser tracking - LIDAR – Medical applications – Precision Length measurement –Velocity measurement – Laser Fusion. UNIT 5 INTRODUCTION TO SMART STRUCTURES 9 Industrial Applications And Smart Structure- Temperature, Pressure, fluid level, flow, position, vibration and rotation measurements. Chemical analysis, Current and voltage measurement. Introduction to smart structures, Application of fiber optic smart structures and skins, Examples. REFERENCES: 1. A.K. Ghatak and K. Thiagarajan, Lasers Theory & Applications- Plenum press, New york, 1981. 2. Keiser, Optical Fiber Communication System, McGraw HillLtd., 1983. 3. D.C. Oshea and W.Russel Callen, Introduction to lasers and Applications, Addison Wesley, 1978. 4. H.M. Smith, Principles of Holography, John Wiley & Sons, 1975. 5. A.K. Ghatak and K. Thiagarajan, Optical Electronis, Foundation Books, 1991.

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L T P C IC0653 VLSI DESIGN 3 1 0 4

Prerequisite Basic knowledge of Digital Circuits, Hardware, Flip flops, and

Programmable arrays

UNIT 1 DESIGN TECHNOLOGIES 9 Overview of ASIC Design: Introduction to Design technologies using ASICs and its advantages – Design flow – CAD Tools used in ASIC Design. Design of Combinational Logic: MSI and LSI elements – Multiplexers – Decoders and Demultiplexers – Design with MSI elements – hardware and mixed logic convention – Gate Hardware – Mixed Logic as a Design Tool and descriptive conventions – Uses of mixed logic in trouble shooting, Adders. UNIT 2 DESIGN OF FLIP FLOP 9 Design of Sequential Logic: Feedback in combinational circuits – Combination of Flip Flops – Traditional state machine design using D Flip flops – Design with JK Flip Flops – Design for PLD – ASM chart – Design from an ASM chart – Clock skew – Initialization and lockout in state machines, Adders UNIT 3 INTRODUCTION TO VHDL 9 VHDL: Introduction to VHDL – Behavioral Data Flow and Structural Model – VHDL attributes – Timingrelatedissues – subprogram – Functions – Procedure – Package – Operators – data types – data objects – concurrent constructs – Sequential constructs. Timing Diagrams: Micro and Macro Timing diagrams – Hazards – Timing simulations UNIT 4 GATE ARRAYS 9 Application Specific Devices: Programming Technologies – ROMs and EPROM’s - PLA – PAL Gate Arrays – Programmable gate arrays and applications – CPLDS UNIT 5 PROGRAMMABLE REGISTERS 9 FPGAS – Antifuse FPGA – Synthesis methods for FPGA – Electronically programmable functions – Basic Components – Arithmetic Logic Unit – Programmable register REFERENCES: 1. James. E. Palmer, David E Perlman, ”Introduction to Digital System”, TataMcGrawHill,1996. 2. Kevin Skahill “VHDL for programmable logic Devices”, Addison Wesley, 1996 3. Smith, “Application Specific Integrated Circuits”, Addition –Wesley, Second, Reprint,2000 4. J. Bhasker, ”VHDL primer”, Prentic Hall,1986. 5. Stefan Sjoholm and Lennart Lindh, “VHDL FOR DESIGNERS”, Prentice Hall, 1997

L T P C IC0655 ROBOTICS AND AUTOMATION 3 0 0 3

Prerequisite Basics of Sensors, Kinematics, Trajectories and Controllers

UNIT 1 INTRODUCTION 9

Geometric configuration of robots – Manipulators – Drive systems – Internal and external sensors – End effectors – Control systems – Robot programming languages and applications – Introduction to robotic vision. UNIT 2 ROBOT ARM KINEMATICS 9 Direct and inverse kinematics – Rotation matrices – Composite rotation matrices – Euler angle representation – Homogenous transformation – Denavit Hattenberg representation and various arm configuration.

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UNIT 3 ROBOT ARM DYNAMICS 9 Lagrange – Euler formulation, joint velocities – Kinetic energy – Potential energy and motion equations – Generalised D’Alembert equations of motion. UNIT 4 PLANNING OF MANIPULATOR TRAJECTORIES 9 General consideration on trajectory planning joint interpolation & Cartesian path trajectories. UNIT 5 CONTROL OF ROBOT MANIPULATORS 9 PID control computed, torque technique – Near minimum time control – Variable structure control – Non-linear decoupled feedback control – Resolved motion control and adaptive control. REFERENCES 1. Fu, K.S. Gonazlez, R.C. and Lee, C.S.G., “Robotics (Control, Sensing, Vision and Intelligence), McGraw-Hill, 1968 (II printing). 2. Wesley, E. Sryda, “Industrial Robots: Computer interfacing and Control” PHI, 1985. 3. Asada and Slotine, “Robot Analysis and Control”, John Wiley and Sons, 1986. 4. Philippe Coiffet, “Robot Technology” Vol. II (Modelling and Control), Prentice Hall INC, 1981. 5. Saeed B. Niku, “Introduction to Robotics, Analysis, systems and Applications”, Pearson Education,2002 6. Groover M. P. Mitchell Wesis., “Industrial Robotics Technology Programming and Applications”, Tata McGraw-Hill, 1986.

L T P C IC0657 OPTIMAL CONTROL AND FILTERING 3 0 0 3

Prerequisite Basic knowledge of Linear Programming, Filters, Mathematical Modeling

and solutions

UNIT 1 INTRODUCTION 9 Statement of optimal control problem – Problem formulation and forms of optimal control – Selection of performance measures. Necessary conditions for optimal control – Pontryagin’s minimum principle – State inequality constraints – Minimum time problem.

UNIT 2 LQ CONTROL PROBLEMS AND DYNAMIC PROGRAMMING 9 Linear optimal regulator problem – Matrix Riccatti equation and solution method – Choice of weighting matrices – Steady state properties of optimal regulator – Linear tracking problem – LQG problem – Computational procedure for solving optimal control problems – Characteristics of dynamic programming solution – Dynamic programming application to discrete and continuous systems – Hamilton Jacobi Bellman equation.

UNIT 3 NUMERICAL TECHNIQUES FOR OPTIMAL CONTROL 9 Numerical solution of 2-point boundary value problem by steepest descent and Fletcher Powell method solution of Ricatti equation by negative exponential and interactive methods

UNIT 4 FILTERING AND ESTIMATION 9 Filtering – Linear system and estimation – System noise smoothing and prediction – Gauss Markov discrete time model – Estimation criteria – Minimum variance estimation – Least square estimation – Recursive estimation.

UNIT 5 KALMAN FILTER AND PROPERTIES 9

Filter problem and properties – Linear estimator property of Kalman Filter – Time invariance and asymptotic stability of filters – Time filtered estimates and signal to noise ratio improvement – Extended Kalman filter.

REFERENCES:

1. Krik D.E., ‘Optimal Control Theory – An introduction’, Prentice hall, N.J., 1970. 2. Sage, A.P., ‘Optimum System Control’, Prentice Hall N.H., 1968. 3. Anderson, BD.O. and Moore J.B., ‘Optimal Filtering’, Prentice hall Inc., N.J., 1979. 4. S.M. Bozic, “Digital and Kalman Filtering”, Edward Arnould, London, 1979. 5. Astrom, K.J., “Introduction to Stochastic Control Theory”, Academic Press, Inc, N.Y., 1970.

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L T P C IC0659 INDUSTRIAL DRIVES AND CONTROL 3 0 0 3

Prerequisite Knowledge of DC Motors,Drives,Controllers and Power electronics

UNIT 1 SELECTION OF MOTORS 9 Introduction, selection of drive, Rating of motors, speed – torque characteristics of various types of loads & drive motors, starting braking and reversing operations. UNIT 2 DC DRIVES (QUALITATIVE TREATMENT ONLY) 9 Speed control of DC motors – Thyristor converter fed DC drives: Single, two and four quadrant operations. Chopper Drives – control strategies, operation of step-up and step-down choppers, chopper configuration – operation of class A, B, C, D & E. UNIT 3 THREE – PHASE INDUCTION MOTOR DRIVES 9 Speed control of Induction motors – Stator control – stator voltage and frequency control, AC chopper, Inverter cycloconverter fed induction motor drives. Rotor control – Rotor resistance control and slip-power recovery schemes, static control of rotor resistance using DC chopper, static kramer and scherbius drives, cycloconverter fed drives. UNIT 4 SYNCHRONOUS MOTOR DRIVES 9 Speed control of 3-phase synchronous motors – VSI & CSI fed synchronous motors, cyclo converter fed synchronous motors. Effects of harmonics on the performance of AC motors PWM inverter fed synchronous motors construction, principle of operation and drive circuits of variable reluctance stepper motors. UNIT 5 MOTOR SPEED CONTROL 9 Microprocessors in the control of Electric drives – Applications of microprocessors on electrical variable speed drive – d.c. motor speed control, Induction motor speed control, synchronous motor speed control using a microprocessor. REFERENCE BOOKS 1. Dubey G.K. and Kasarabada Rao., Power Electronic and Drives, Narosa Publications, 1986. 2. Vedam Subramaniyam, Thyristor control of Electric drives, Tata McGraw Hill Publishing Ltd,1998. 3. Vedam Subramaniyam, Electric Drives, Tata McGraw Hill Ltd,1994. 4. Pillai S.K. , A First course on Electric Drives, Wiley Eastern Ltd,1989. 5. Singh M.D., Power Electronics, Tata McGraw Hill , N.D.,1998. 6. Dubey G.K. , Power Semiconductor controlled Drives, PHI, 1986.

L T P C IC0661 SYSTEM IDENTIFICATION 3 0 0 3

Prerequisite Basic Knowledge of Modeling, Simulation, Controllers, Parameters

Estimation and Self Tuning.

PURPOSE The purpose of this course is to develop a strong foundation in the field of system identification. The subject gives the students an in-depth knowledge of system modeling , simulation and enables them to analyze and design system INSTRUCTIONAL OBJECTIVES At the end of the course, student should be able to Understand the conventional methods of system modeling Understand the Digital simulation processes Understand the identification and estimation techniques

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UNIT 1CONVENTIONAL METHODS OF SYSTEM MODELING 13 System Identification: Introduction, dynamic systems, models, system identification procedure. Simulation and Prediction. Non-parametric time and frequency domain methods UNIT 2 DIGITAL SIMULATION OF PROCESSES Linear dynamic system Identification: Overview, excitation signals, general model structure, time series models, models with output feedback, models without output feedback. Convergence and consistency UNIT 3 EXPANDING MEMORY IDENTIFICATION TECHNIQUES Parameter estimation methods, minimizing prediction errors, linear regressions and Least squares method, Instrumental – variable method, prediction error method. Recursive algorithms. Closed-loop Identification. UNIT 4 ADAPTIVE CONTROL 9 Adaptive Control: Close loop and open loop adaptive control. Self-tuning controller. Auto tuning for PID controllers: Relay feedback, pattern recognition, and correlation technique. UNIT 5 ADAPTIVE OBSERVER Adaptive Smith predictor control: Auto-tuning and self-tuning Smith predictor. Adaptive advanced control: Pole placement control, minimum variance control, generalized predictive control.

TOTAL 45

TEXT BOOKS: 1. Chang C. Hong, Tong H. Lee and Weng K. Ho, Adaptive Control, ISA press, Research Triangle Park, 1993. 2. Nelles. O, Nonlinear System Identification, Springer Verlag, Berlin, 2001. REFERENCE BOOKS 1. Ljung .L, System Identification: Theory for the user, Prentice Hall, Englewood Cliffs, 1987. 2. Astrom .K, Adaptive Control, Second Edition, Pearson Education Asia Pte Ltd, 2002.

L T P C IC0663 PROCESS CONTROL AND INSTRUMENTATION TECHNOLOGY 3 0 0 3

Prerequisite Knowledge of Controllers, Basic control actions and Programmable logic

controllers

UNIT 1 PROCESS DYNAMICS 9 Introduction to process control-Process control principles-Servomechanisms-Process Control Block Diagram –Units Standards, and Definitions Significance and Statistics. UNIT 2 CONTROL ACTIONS AND CONTROLLER MODES 9 Basic control actions-on/off, Discontinuous – Two position mode-Multi position mode-floating control mode-Continuous control-Proportional control mode-integral control mode -derivative control mode-Composite control –PI, PD, PID Controllers

UNIT 3 COMPLEX CONTROL TECHNIQUES 9 Feed forward-ratio-cascade-split range-inferential-predictive-adaptive and multivariable control. UNIT 4 PROGRAMMABLE LOGIC CONTROLLERS 9 Evolution of PLC – Sequential and Programmable controllers – Architecture – Programming of PLC – Relay logic and Ladder logic – Functional blocks – Communication Networks for PLC.

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UNIT 5 FINAL CONTROL ELEMENTS 9 Introduction-Signal conversions- Analog and Digital Signals-Pneumatic Signals—Electrical-Pneumatic-Hydraulic Actuators –Control Elements-Mechanical-Electrical-Fluid valves. REFERENCES: 1.George Stephanopoulos, "Chemical Process Control", Prentice Hall India 2. Harriot P., “Process Control”, Tata McGraw-Hill, New Delhi, 1991. 3. Curtis Johnson, “Process control instrumentation technology”

L T P C IC0665 LINEAR AND NON LINEAR CONTROL 3 0 0 3

Prerequisite Knowledge of Describing functions, Concepts of stability and

Observability and Process dynamics

UNIT 1 INTRODUCTION 9 Linear time varying systems- Properties of the state transition matrix.- ad joint equation -variational equation-Linear time invariant systems.-Eigenvalues left and right eigenvectors-Dyadic expansions UNIT 2 CONTROLLABILITY 9 Concepts of Controllability-observability-effects of state feedback- output injection. Characterization of controllability and observability for linear systems. Stabilizability –detectability-Duality -Kalman decomposition- internal stability - I/O stability. UNIT 3 STABILITY CONCEPTS 9 Concept of stability- Lyapunov stability and absolute stability-Zero-input and BIBO stability-second method of Lyapunov stability theory for continuous and discrete time systems-Aizerman's and Kalman's conjecture- Construction of Lyapunov function-Methods of Aizerman, Zubov; variable gradient method- Lure problem. UNIT 4 DESCRIBING FUNCTIONS 9 Linear versus nonlinear systems- Describing function analysis-Fundamentals- common nonlinearities (saturation, dead-zone, on-off non-linearity, backlash, hysteresis) and their describing functions- Describing function analysis of nonlinear systems-Reliability of describing method analysis-Compensation and design of nonlinear system UNIT 5 DYNAMIC BEHAVIOUR 9 Full order observers-state estimation-eigenvalue assignment-Approximate solution of nonlinear system -perturbation method and averaging method-Review of dynamic behavior of linear systems design- Linear processes with difficult dynamics-Nonlinear process dynamics REFERENCE: 1. Advanced control theory by Nagoorkani 2. Digital control and state variables by M.Gopal

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L T P C IC0667 INDUSTRIAL AUTOMATION 3 0 0 3

Prerequisite Basic operation knowledge of Programmable logic controllers, Stepper

motors ,Control Valves and Industrial networks

UNIT 1INTRODUCTION 9 Introduction into means of automation-Process instrumentation- Action members, DC and AC drives-Counters-timers-industrial controllers-Stepper motors Principles-Construction UNIT 2 PROGRAMMABLE LOGIC CONTROLLERS 9 Programmable logic controllers- basic properties-overview of PLCs- function. Software and programming languages- Hardware architecture -Programming of PLC-IEC 1131-3 Standard-Distributed control systems-Architecture -Hardware of the first control level-operator level- interface to supervisory systems UNIT 3 INDUSTRIAL NETWORKS 9 Introduction into Industrial LANs-Model ISO/OSI-Physical layer-Link layer-Synchronization, modulation, coding of signal-IEEE Protocols.- Industrial communication buses-Model of serial industrial bus-Overview on industrial buses-Case solutions-Sensor bus. UNIT 4 PNEUMATIC ACTUATORS 9 Introduction to Actuators - Flow Control Valves-Hydraulic Actuator Systems - Principles, Components and Symbols-Hydraulic Actuator Systems - Pumps and Motors-Proportional and Servo Valves -Pneumatic Control Systems-System Components-Pneumatic Control Systems -Controllers and Integrated Control Systems UNIT 5 MOTION CONTROL SYSTEM 9 Motion control system- Hardware based –PC based –Feedback devices- Tachometers-Encoders- Resolvers REFERENCES 1. Warnock, I G., 1988, Programmable Controllers, operation and application, Prentice Hall . 2. Gupton, J A., 1986, Computer controlled industrial machines processes and robots, Prentice Hall. 3. Lansky, Z J. et al., 1986, Industrial pneumatic control, Marcel Decker. 4. Considine, D M. editor in chief, 1986, Standard handbook of industrial automation, Chapman and Hall

L T P C IC0669 PROCESS MODELING, DESIGN AND SIMULATION 3 0 0 3

Prerequisite Basic knowledge of Control Systems theory, Models, Multi Variable

Process control and Controller Tuning.

UNIT 1 PROCESS MODELLING Process models and Dynamic behavior, Reasons for Modeling, Lumped Parameter System Models, Balance Equations-Integral Balances, Instantaneous Balances, Steady State, Material Balances UNIT 2 STATE VARIABLES Material and Energy Balances, Form of Dynamic Models-State Variables, Input Variables, Parameters, Output Variables, Vector Notation, Steady-State Solutions, Numerical Integration UNIT 3 DYNAMIC BEHAVIOUR Linear Models and Deviation Variables-Deviation Variable Formulation, Linearization of Nonlinear Models-A Second-Order Reaction, Jacketed Heater, Dynamic Behavior- Linear State-Space Models-Stability-Exothermic CSTR, MATLAB eigenvalue function, Generalization

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UNIT 4 CONTROLLER TUNING PID Controllers Tuning-Closed-Loop Oscillation-Based Tuning-Ziegler-Nichols Closed-Loop Method-Third-Order Process, Tuning Rules for First-Order + Dead Time Processes-Ziegler-Nichols Open-Loop Method, Cohen-Coon Parameters, Direct Synthesis-Direct Synthesis for Minimum-Phase Processes-Direct Synthesis for a First-Order Process, Direct Synthesis for Nonminimum-Phase Processes-First-Order+Dead Time example,Process with a RHP Zero, Reformulation of the Desired Response UNIT 5 CONTROLLER DESIGN Internal Model Control-Static Control Law, Dynamic Control Law, Practical Open-Loop Controller Design-Response of Manipulated and Output Variables to Step Setpoint Changes, Issues in Dynamic Controller Design-Inverse Response System, Numerical Example of an Inverse Response System, Generalization of the Open-Loop Control Design Procedure-Controller Factorization-Factorization Techniques, Comparison of Output Responses for Different Controller Factorizations, Model Uncertainty and Disturbances-First-Order Process with Model Uncertainty, Development of the IMC Structure, The IMC Structure-Perfect Model, No Disturbances, Perfect Model, Disturbance Effect, Model Uncertainty, No Disturbances, The IMC Design Procedure TEXT BOOKS: 1. B.Wayne Bequette, “Process Control Modeling, Design and Simulation ”, Prentice Hall International Series in the Physical and Chemical Engineering Sciences 2. William L.Luyben, “ Process Modeling, Simulation and Control for Chemical Engineers” 3. B.Wayne Bequette, “Process Dynamics Modeling, Analysis and Simulation ”, Prentice Hall International Series in the Physical and Chemical Engineering Sciences L T P CIC0671 Fundamentals of MEMS 3 0 0 3

Prerequisite Nil

PURPOSE To learn to develop micro size sensors.

INSTRUCTIONAL OBJECTIVES

To learn fundamental concept of design and manufacturing of Micro electronics system.

9 Overview of MEMS and Micro system: MEMs and Microsystems – Typical MEMS and Microsystems Products – Evolution of Micro fabrication - Microsystems and Microelectronics – Multidisciplinary nature of Microsystems Design and Manufacutre – Application of Microsystems in Automotive Industry – Application of Microsystems in other Industries

9 Working Principles of Microsystems: Introduction – Microsensors – Microactuation – MEMS with Microactuators – Microactuators with mechanical Inertia - Microfluidics. Engineering Science for Microsystems Design and Fabrication : Introduction – Atomic structure of Matter – Ions and Ionization – Molecular theory of matter and Intermolecular forces – Doping of Semiconductors – Diffusion Process – Plasma Physics – Electrochemistry

9 Engineering Mechanics for Microsystems Design : Introduction – Static Bending of Thin Plates –Thermofluid Engineering and Microsystems Design: Introduction – Overview of basics of fluid mechanics at macro and Mesoscales – Basic eqation in Continuum fluid Dynamics – Laminar Fluid flow in Circular Conduits – Computational Fluid Dynamics – Incomressible Fluid flow in

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Microconduits – overview of Heat Conduction in Solids – Heat Conduction in Multilayered Thin Films – Heat Conduction in Solids at Submicrometer

9 Microsystems Fabrication Processes: Introduction – Photolithography – Ion Implantation – Diffusion – Oxidation – Chemical Vapor Deposition - Physical Vapor Deposition: Sputtering – Deposition by Expitaxy – Etching – Summary of Microfabrication

9 Overview of Micro manufacturing: Introduction – Bulk Micromanufacturing – Surface Micromachining – LIGA process – Summary of Micromanufacturing :Microsystems Design: Introduction – Design Considerations – Process Design – Mechanical Design - Mechanical Design using finite element method – Design of Silicon Die of a Micro pressure sensor – Design of Microfluidie Network systems – Computer – Aided Design

TEXT BOOKS 1. Tai-Ran Hsu, MEMS and MICROSYSTEMS, John Wiley & Sons, New Jersey, 2008

REFERENCES

2. Chang Liu, FOUNDATION OF MEMS, Illinois ECE series 3. Fundamentals of Microfabrication by M. Madou. 4. Microsystem design by Stephen .D. Senturia