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Experimental Study of Temperature Control using Soft Computing

by Nithya Venkatesan, N. Sivakumaran, P. Sivashanmuguham
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 9
Year of Publication: 2012
Authors: Nithya Venkatesan, N. Sivakumaran, P. Sivashanmuguham
10.5120/8227-2559

Nithya Venkatesan, N. Sivakumaran, P. Sivashanmuguham . Experimental Study of Temperature Control using Soft Computing. International Journal of Computer Applications. 52, 9 ( August 2012), 1-6. DOI=10.5120/8227-2559

@article{ 10.5120/8227-2559,
author = { Nithya Venkatesan, N. Sivakumaran, P. Sivashanmuguham },
title = { Experimental Study of Temperature Control using Soft Computing },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 9 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number9/8227-2559/ },
doi = { 10.5120/8227-2559 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:48.115643+05:30
%A Nithya Venkatesan
%A N. Sivakumaran
%A P. Sivashanmuguham
%T Experimental Study of Temperature Control using Soft Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 9
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper experimentally investigates the control of an industry based shell and tube heat exchanger. The hot fluid outlet temperature in the shell side is maintained by manipulating the cold fluid temperature in the tube side. The Fuzzy Logic based Controller (FLC) has been implemented in a MATLAB environment using cost effective ADAM's module and compared with the Proportional - Integral (PI) controller. The performance of the controller has been investigated for multiple changes in set points and load changes. The fuzzy logic based controller has higher speed of response and the steady state error for the fuzzy logic control has a small average value than that of the PI control. There is less oscillatory behavior with the fuzzy logic controller, which allows a system to reach steady-state operating conditions in regions where PI controller is not able to perform well. The time domain specifications like rise time, settling time, overshoot and the performance indices, Integral Squared Error (ISE) and Integral Average Error (IAE) have been compared to PI controller.

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Index Terms

Computer Science
Information Sciences

Keywords

Nonlinear System Shell and Tube Heat Exchanger PI Controller Fuzzy Logic Controller

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