Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System
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 pa...
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2014
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my.utem.eprints.123432015-05-28T04:24:08Z http://eprints.utem.edu.my/id/eprint/12343/ Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System Md Rozali, Sahazati Rahmat, Mohd Fua'ad Husain, Abdul Rashid TK Electrical engineering. Electronics Nuclear engineering 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. Hindawi Publishing Corporation 2014-04-14 Article NonPeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/12343/1/679435.pdf 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 http://www.hindawi.com/journals/jam/ai/ 10.1155/2014/679435 |
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TK Electrical engineering. Electronics Nuclear engineering Md Rozali, Sahazati Rahmat, Mohd Fua'ad Husain, Abdul Rashid Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System |
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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. |
format |
Article |
author |
Md Rozali, Sahazati Rahmat, Mohd Fua'ad Husain, Abdul Rashid |
author_facet |
Md Rozali, Sahazati Rahmat, Mohd Fua'ad Husain, Abdul Rashid |
author_sort |
Md Rozali, Sahazati |
title |
Performance Comparison of Particle Swarm Optimization and
Gravitational Search Algorithm to the Designed of Controller for Nonlinear System |
title_short |
Performance Comparison of Particle Swarm Optimization and
Gravitational Search Algorithm to the Designed of Controller for Nonlinear System |
title_full |
Performance Comparison of Particle Swarm Optimization and
Gravitational Search Algorithm to the Designed of Controller for Nonlinear System |
title_fullStr |
Performance Comparison of Particle Swarm Optimization and
Gravitational Search Algorithm to the Designed of Controller for Nonlinear System |
title_full_unstemmed |
Performance Comparison of Particle Swarm Optimization and
Gravitational Search Algorithm to the Designed of Controller for Nonlinear System |
title_sort |
performance comparison of particle swarm optimization and
gravitational search algorithm to the designed of controller for nonlinear system |
publisher |
Hindawi Publishing Corporation |
publishDate |
2014 |
url |
http://eprints.utem.edu.my/id/eprint/12343/1/679435.pdf http://eprints.utem.edu.my/id/eprint/12343/ http://www.hindawi.com/journals/jam/ai/ |
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1665905494573711360 |
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13.18916 |