Jan - April 2014

Journal of Control &

Instrumentation

ISSN : 2347 - 7237

(JoCI)May - August 2014

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(JoADMS)

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(ISSN: 2347-7237)

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Industrial Tribology Machine Dynamics & Maintenance

Engineering Centre (ITMMEC)

Indian Institute of Technology Delhi, India

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Alternative Energy Technology Laboratory,

Department of Physics,

Indian Institute of Technology, Chennai, India

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Varanasi, India

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Applied Chemistry, BIT Mesra,

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STM Journal (s) Advisory Board

Dr. Ashish RunthalaLecturer, Biological Sciences Group,

Birla Institute of Technology & Science, Pilani Rajasthan, India.

Dr. Baldev Raj

Former Director, Indira Gandhi Centre for Atomic Research, India.

Chairman, National Institute of Technology Puducherry, India.

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of Civil Engineering National Institute of Technology Trichy, India.

Prof. Bankim Chandra RayProfessor and Head, Department of

Metallurgical and Materials Engineering National Institute of Technology,

Rourkela, India.

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AIIMS, New Delhi, India.

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Pune, India.

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University, Baru Sahib, India.

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Indian Institute of Technology Madras, India.

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Department of Applied Chemistry, BIT Mesra, Patna, India.

Dr. Priyavrat TharejaHead, Materials and Metallurgical

Engineering Department, PEC University of Technology,

Chandigarh, India.

STM Journal (s) Advisory Board

Editorial Board

Dr. Dipak AdhyaruProfessor and Head, Instrumentation and

Control Engineering Dept., Nirma University,Ahmedabad, Gujarat,

India.

Dr. Bidyadhar SubudhiProfessor-in-Charge, Centre for Industrial Electronics & Robotics, Department of Electrical Engineering National Institute

of Technology, Rourkela, India.

Dr. M V. VaidyanProfessor, Department of Electrical Engineering, National Institute of

Technology Calicut, Kerala , India.

Dr. Ketan PravinchandraAssistant Professor, Department of

Electrical Engineering, Indian Institute of Technology Hyderabad,

Yeddumailaram, Andhra Pradesh, India.

M ManimaranScientific officer, IGCAR,

Kanchipuram, Tamil Nadu, India.

Dr. Chandar TsProfessor and Head, Dept. of Electronics

and Communication, PES Institute of Technology, Bangalore, India.

Dr. Sabura BanuProfessor, Dept. of Electronics and

Instrumentation Engineering, B.S. Abdur Rahman University,

Vandalur, Chennai, India.

Dr. J. Mohanalin Raja RathnamProfessor, St. Joseph's College of

Engineering and Technology, Palai, India.

Dr. Kiran ChakravarthulaAssociate Professor, Dept. of Electronics &Instrumentation Engineering, V.N.R.

Vignana Jyothi Institute of Engineering & Technology, Hyderabad, India.

Dr. Santhosh K. V.Assistant Professor, Department of Instrumentation and Control

Engineering, Manipal Institute of Technology, Manipal India.

I take the privilege to present the hard copy compilation for the [Volume 5 Issue (2)] of Journal of

Control & Instrumentation. The intension of JoCI is to create an atmosphere that stimulates

creativeness, research and growth in the area of Control & Instrumentation.

The development and growth of the mankind is the consequence of brilliant Research done by

eminent Scientists and Engineers in every field. JoCI provides an outlet for Research findings and

reviews in areas of Control & Instrumentation found to be relevant for National and International

recent developments & research initiative.

The aim and scope of the Journal is to provide an academic medium and an important reference for

the advancement and dissemination of Research results that support high level learning, teaching and

research in the domain of Control & Instrumentation.

Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for

their continued support and invaluable contributions and suggestions in the form of authoring write-

ups/ reviewing and providing constructive comments for the advancement of the journals. With

regards to their due continuous support and co-operation, we have been able to publish quality

Research/Reviews findings for our customers base.

I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra

Director

STM Journals

Director's Desk

STM JOURNALS

1. Multisensor Data Fusion based Intelligent Temperature Measurement Technique Santhosh K.V., Rachana Priyadarshini, Saloni 1

2. Comparison of Mamdani and Sugeno Fuzzy Inference Systems for a Three Tank Level Control System Vijaya Lakshmi K., Rao P. D. P., Srinivas P. 14

3. Designing of Low Pass Finite Impulse Response Filter using Radial Basis Function Neural NetworkSingh M., Thakare V. V. 21

4. Experimental Setup for the Measurement of Low Temperature Seebeck Coefficient of Single Crystal and Bulk MaterialsNaik I., Rastogi A. K. 25

ContentsJournal of Control & Instrumentation

JoCI (2014) © STM Journals 2014. All Rights Reserved

Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print)

Volume 5, Issue 2

www.stmjournals.com

Multisensor Data Fusion based Intelligent Temperature

Measurement Technique

Santhosh K.V.*, Rachana Priyadarshini, Saloni Department of Instrumentation & Control Engineering, Manipal Institute

of Technology, Manipal, India

Abstract Design and validation of a temperature measurement technique using fusion of

temperature sensor like resistance temperature detector (RTD), and thermistor is

proposed in this work. The objective of proposed work is to design a technique using

fuzzy logic algorithms to fuse two different sensors having dissimilar characteristics. A

fuzzy logic system is trained to produce an output for a temperature measurement system

which is (a) more linear input-output characteristics as compared to thermistor, (b) characteristics like offset and saturation present in output of RTD is reduced, and (c)

detection and identification of fault if any in sensor with diagnostics. The proposed multi sensor system once trained is validated by applying it in real life application. Results

produced by proposed system shows successful implementation of an intelligent

temperature system.

Keywords: Temperature, fault detection, MSDF, fuzzy, LabVIEW

JoCI (2014)© STM Journals 2014. All Rights Reserved

Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print)

Volume 5, Issue 2

www.stmjournals.com

Comparison of Mamdani and Sugeno Fuzzy Inference

Systems for a Three Tank Level Control System

Vijaya Lakshmi K.*, Rao P. D. P., Srinivas P.

Department of EIE, VR Siddhartha Engineering College, Vijayawada, India

Abstract The level control of a three tank system has become a research focus due to the nonlinear

process and multivariables. It is well known that the conventional controllers are suitable

to control linear processes and their design is based on the exact mathematical model. In this paper, we developed a mathematical model for a three tank system and proposed an

effective controller design based on fuzzy logic by which more reliable and precise

control can be achieved. We implemented P, PI, and PID controllers for three tank system using Mamdani and Sugeno fuzzy inference systems. Here, the auto tuning of

proportional, integral, and derivative constants are performed using fuzzy controllers for optimum response. The results from these models for P, PI, and PID controllers are

compared and observed that Sugeno FIS shows the superiority over mamdani in terms of

rise time, settling time, and overshoot.

Keywords: Three tank system, modeling, fuzzy logic controller (flc), mamdani fis,

sugeno fis

JoCI (2014)© STM Journals 2014. All Rights Reserved

Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print)

Volume 5, Issue 2

www.stmjournals.com

Designing of Low Pass Finite Impulse Response Filter

using Radial Basis Function Neural Network

Singh M.*, Thakare V. V.

Department of Electronics Engineering, Madhav Institute of Technology and Science, RGPV,

Bhopal, Gwalior, Madhya Pradesh, India

Abstract The present paper investigates an approach to design and analysis of a low pass finite impulse response (FIR) filter using artificial neural network. The main aim of design is to

find out the filter coefficients that define the filter transfer functions. A datasheet of 40

different values of h (n), i.e., coefficient of digital low pass FIR filter are used for filter designing. In this paper Radial Basis Function method is used for train artificial neural

network. A combination of digital signal processing algorithm and neural network is

obtained with the help of MATLAB to produce effective algorithm for digital filter design is used in the present work.

Keywords: Artificial neural network (ANN), digital signal processing (DSP), finite

impulse response (FIR)

JoCI (2014)© STM Journals 2014. All Rights Reserved

Journal of Control & Instrumentation ISSN: 2229-6972 (online), ISSN: 2347-7237 (print)

Volume 5, Issue 2

www.stmjournals.com

Experimental Setup for the Measurement of Low

Temperature Seebeck Coefficient of Single Crystal

and Bulk Materials

Naik I.1*, Rastogi A. K.

2

1Department of Physics, North Orissa University, Baripada 757003, India

2School of Physical Sciences, Jawaharlal Nehru University, New Delhi 110067, India

Abstract A differential thermopower setup is fabricated for both the single crystal and bulk

materials in the temperature range of 16–320 K. One advantage of this apparatus is that

the sample separation can be changed according to the requirement between 2 and 5 mm. In this setup silver paint is used for the improvement of thermal and electrical

conductivity between copper (thermocouple) leads and material. Seebeck coefficients are measured using a filter circuit at fixed temperature by making different temperature

gradients for highly resistive compounds (<100 K) and continuously with a temperature difference of 0.3–0.5 K in case of metallic compounds. This setup is calibrated by using

the high purity lead material and used it for the calculation of absolute seebeck coefficient of materials of interest. Our calculated Seebeck coefficient of copper from the

measurement value of lead differs from the standard value of copper by +1.4 μV/K with a

transition around 41 K related to the silver contain.

Keywords: Thermo power, differential method, experimental design, computer

automation