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Reseach Article

GA Based IFLC Design for an Industrial Process

by P. Subbaraj, P.S. Godwin Anand
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 11
Year of Publication: 2010
Authors: P. Subbaraj, P.S. Godwin Anand
10.5120/240-395

P. Subbaraj, P.S. Godwin Anand . GA Based IFLC Design for an Industrial Process. International Journal of Computer Applications. 1, 11 ( February 2010), 57-64. DOI=10.5120/240-395

@article{ 10.5120/240-395,
author = { P. Subbaraj, P.S. Godwin Anand },
title = { GA Based IFLC Design for an Industrial Process },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 11 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 57-64 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number11/240-395/ },
doi = { 10.5120/240-395 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:03.674933+05:30
%A P. Subbaraj
%A P.S. Godwin Anand
%T GA Based IFLC Design for an Industrial Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 11
%P 57-64
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fuzzy Logic with PID control (IFLC) has been applied for various applications which provide better performances compared to independent FLC, and PID. Although expert-system-based solutions are effective in controlling the processes. Design Fuzzy logic controller has traditionally been achieved through a process of trial and error. Such approach cannot obtain optimized FLC; more formal methods of knowledge base optimization are required. Genetic Algorithms (GAs) provide such a method to optimize the FLC parameters to globally optimum. In this paper, the FLC and the PID controller is optimally designed using the genetic algorithm. The effectiveness of the proposed approach (GAIFLC) is compared to a previous IFLC designed based on trial and error method and conventional PID controller for a three tank system. The simulation results of the proposed approach provide a satisfactory response in all means.

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Index Terms

Computer Science
Information Sciences

Keywords

FLC GA PID Optimization IFLC