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A Comparative Study of Intelligent Control System Tuning Methods for an Evaporator based on Genetic Algorithm

by Hala A. Abdel-Halim, Othman E. A., A. A. Sakr, A. A. Zaki, A. A. Abouelsoud
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 10
Year of Publication: 2017
Authors: Hala A. Abdel-Halim, Othman E. A., A. A. Sakr, A. A. Zaki, A. A. Abouelsoud
10.5120/ijais2017451646

Hala A. Abdel-Halim, Othman E. A., A. A. Sakr, A. A. Zaki, A. A. Abouelsoud . A Comparative Study of Intelligent Control System Tuning Methods for an Evaporator based on Genetic Algorithm. International Journal of Applied Information Systems. 11, 10 ( Feb 2017), 1-14. DOI=10.5120/ijais2017451646

@article{ 10.5120/ijais2017451646,
author = { Hala A. Abdel-Halim, Othman E. A., A. A. Sakr, A. A. Zaki, A. A. Abouelsoud },
title = { A Comparative Study of Intelligent Control System Tuning Methods for an Evaporator based on Genetic Algorithm },
journal = { International Journal of Applied Information Systems },
issue_date = { Feb 2017 },
volume = { 11 },
number = { 10 },
month = { Feb },
year = { 2017 },
issn = { 2249-0868 },
pages = { 1-14 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number10/966-2017451646/ },
doi = { 10.5120/ijais2017451646 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:04:45.393386+05:30
%A Hala A. Abdel-Halim
%A Othman E. A.
%A A. A. Sakr
%A A. A. Zaki
%A A. A. Abouelsoud
%T A Comparative Study of Intelligent Control System Tuning Methods for an Evaporator based on Genetic Algorithm
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 10
%P 1-14
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper employs Genetic Algorithm to obtain the optimum parameters of an evaporator control system by using different tuning methods. Tuning methods consists of two main groups; first group consists of minimizing the performance indices factors separately such as; Integral of Absolute Error (IAE), Integral of Square Error (ISE), Integral of Time Absolute Error (ITAE) and Integral of Time multiplied with Square Error (ITSE).Second group consists of minimizing the performance indices factors separately plus the step response parameters such as; the rise Time (Tr), Settling Time (Ts), The Maximum Overshoot (Mp) and Steady state Error(Ess). Simulation Results prove that the second group of tuning methods give best performance, robust stability and improve the system robustness.

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Index Terms

Computer Science
Information Sciences

Keywords

Forced circulation evaporator Genetic algorithm Performance indices

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