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Swarm Optimization based Controller for Temperature Control of a Heat Exchanger

by S.Rajasekaran, Dr.T.Kannadasan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 4
Year of Publication: 2012
Authors: S.Rajasekaran, Dr.T.Kannadasan
10.5120/4674-6790

S.Rajasekaran, Dr.T.Kannadasan . Swarm Optimization based Controller for Temperature Control of a Heat Exchanger. International Journal of Computer Applications. 38, 4 ( January 2012), 6-11. DOI=10.5120/4674-6790

@article{ 10.5120/4674-6790,
author = { S.Rajasekaran, Dr.T.Kannadasan },
title = { Swarm Optimization based Controller for Temperature Control of a Heat Exchanger },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 4 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number4/4674-6790/ },
doi = { 10.5120/4674-6790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:39.921778+05:30
%A S.Rajasekaran
%A Dr.T.Kannadasan
%T Swarm Optimization based Controller for Temperature Control of a Heat Exchanger
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 4
%P 6-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In This paper uses an Attractive-Repulsive Particle Swarm Optimization (ARPSO) method for determining the optimal parameters of proportional-integral-derivative (PID) controller for temperature control of a shell and tube heat exchanger. Most of the heat exchange process is characteristic of nonlinear, large time delay and time varying. For such process it is very difficult to tune its controller parameters based on traditional PID tuning. The proposed method has excellent features, including high computational efficiency, quick stable convergence and easy implementation than standard PSO. In the proposed system, the ARPSO is implemented by MATLAB and compared with standard PSO and Genetic Algorithm (GA). The result shows that the proposed system has a more efficient in improving the step response characteristics such as reducing the steady state error, rise time; settling time and maximum peak overshoot in temperature control of a shell and tube heat exchanger.

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Index Terms

Computer Science
Information Sciences

Keywords

Heat exchangers PSO PID controller tuning

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