Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System

Md Rozali, Sahazati and Rahmat, Mohd Fua'ad and Husain, Abdul Rashid (2014) Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System. Journal of Applied Mathematics, 2014. pp. 1-9. ISSN 1110-757X

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Abstract

This paper presents backstepping controller design for tracking purpose of nonlinear system. Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization(PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. The performance is evaluated based on the tracking error between reference input given to the system and the system output. Then, the efficacy of the backstepping controller is verified in simulation environment under various system setup including both the system subjected to external disturbance and without disturbance.The simulation results show that backstepping with particle swarm optimization performs better than the similar controller with gravitational search algorithm technique in terms of output response and tracking error.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation
Depositing User:	Pn. Sahazati Md Rozali
Date Deposited:	16 May 2014 03:27
Last Modified:	28 May 2015 04:24
URI:	http://eprints.utem.edu.my/id/eprint/12343
Statistic Details:	View Download Statistic

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