Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning of PID Controller in Industrial Couple Tank System

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Abstract

Industrial tank system is widely used in consumer liquid processing and chemical processing industry. In liquid-based product manufacturing system, one of the main components consists of an industrial tank. This paper explores the applications of two swarm intelligence algorithms in optimizing the PID controller parameters. These swarm intelligence algorithms are Particle Swarm Optimization (PSO) and Firefly Algorithm (FA). Each agent of the swarm intelligence will represent a possible solution of the problem where each dimension corresponds to the PID controllers parameters. Result obtained shows that there are potential in improving these algorithms to replace the conventional way of obtaining PID controllers parameters

Item Type:	Article
Additional Information:	Indexed iin Scopus
Uncontrolled Keywords:	Computational intelligence; Firefly algorithm; Optimization; Particle Swarm Optimization (PSO); PID Controller
Subjects:	T Technology > TS Manufactures
Faculty/Division:	Faculty of Manufacturing Engineering
Depositing User:	yaa
Date Deposited:	30 May 2014 08:29
Last Modified:	28 Feb 2018 05:07
URI:	http://umpir.ump.edu.my/id/eprint/5530
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