Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique

Motion control applications are widely applied in the industrial field with the assistance of electro-hydraulic actuator (EHA) system. EHA system is well known to be disclosed to the parameter variations, disturbances and uncertainties which are affected by the changes in the operating conditions su...

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Main Authors: Chong, Chee Soon, Rozaimi, Ghazali, Hazriq Izzuan, Jaafar, Sharifah Yuslinda, Syed Hussien, Yahaya, Md. Sam, Mohd Fua'ad, Rahmat
Format: Article
Language:English
Published: Penerbit UTM Press 2016
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Online Access:http://eprints.utem.edu.my/id/eprint/17114/1/Controller%20Parameter%20Optimization%20For%20An%20Electro-Hydraulic%20Actuator%20System%20Based%20On%20Particle%20Swarm%20Optimization%20Technique.pdf
http://eprints.utem.edu.my/id/eprint/17114/
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spelling my.utem.eprints.171142021-09-09T20:45:23Z http://eprints.utem.edu.my/id/eprint/17114/ Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique Chong, Chee Soon Rozaimi, Ghazali Hazriq Izzuan, Jaafar Sharifah Yuslinda, Syed Hussien Yahaya, Md. Sam Mohd Fua'ad, Rahmat T Technology (General) Motion control applications are widely applied in the industrial field with the assistance of electro-hydraulic actuator (EHA) system. EHA system is well known to be disclosed to the parameter variations, disturbances and uncertainties which are affected by the changes in the operating conditions such as friction, internal and external leakage. The complexity and nonlinear characteristic of the EHA system leads to a great challenge for controller development and system modelling. The performance of the utilized controller can be improved in order to achieve its best capability. In this paper, the basic knowledge in optimization of the proportional-integral-derivative (PID) controller through Gradient Descent (GD) and Particle Swarm Optimization (PSO) techniques are discussed. The PID parameters obtained through Ziegler-Nichols (ZN) tuning method has been optimized by using the GD method and is compared with PSO optimization technique via MATLAB/Simulink software. The findings show significant improvement in positioning tracking performance when the developed optimization technique is applied. Therefore, the issues degrading the EHA system performance have been reduced. Penerbit UTM Press 2016 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17114/1/Controller%20Parameter%20Optimization%20For%20An%20Electro-Hydraulic%20Actuator%20System%20Based%20On%20Particle%20Swarm%20Optimization%20Technique.pdf Chong, Chee Soon and Rozaimi, Ghazali and Hazriq Izzuan, Jaafar and Sharifah Yuslinda, Syed Hussien and Yahaya, Md. Sam and Mohd Fua'ad, Rahmat (2016) Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique. Jurnal Teknologi, 78 (6-13). pp. 101-108. ISSN 0127-9696 10.11113/jt.v78.9280
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Chong, Chee Soon
Rozaimi, Ghazali
Hazriq Izzuan, Jaafar
Sharifah Yuslinda, Syed Hussien
Yahaya, Md. Sam
Mohd Fua'ad, Rahmat
Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique
description Motion control applications are widely applied in the industrial field with the assistance of electro-hydraulic actuator (EHA) system. EHA system is well known to be disclosed to the parameter variations, disturbances and uncertainties which are affected by the changes in the operating conditions such as friction, internal and external leakage. The complexity and nonlinear characteristic of the EHA system leads to a great challenge for controller development and system modelling. The performance of the utilized controller can be improved in order to achieve its best capability. In this paper, the basic knowledge in optimization of the proportional-integral-derivative (PID) controller through Gradient Descent (GD) and Particle Swarm Optimization (PSO) techniques are discussed. The PID parameters obtained through Ziegler-Nichols (ZN) tuning method has been optimized by using the GD method and is compared with PSO optimization technique via MATLAB/Simulink software. The findings show significant improvement in positioning tracking performance when the developed optimization technique is applied. Therefore, the issues degrading the EHA system performance have been reduced.
format Article
author Chong, Chee Soon
Rozaimi, Ghazali
Hazriq Izzuan, Jaafar
Sharifah Yuslinda, Syed Hussien
Yahaya, Md. Sam
Mohd Fua'ad, Rahmat
author_facet Chong, Chee Soon
Rozaimi, Ghazali
Hazriq Izzuan, Jaafar
Sharifah Yuslinda, Syed Hussien
Yahaya, Md. Sam
Mohd Fua'ad, Rahmat
author_sort Chong, Chee Soon
title Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique
title_short Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique
title_full Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique
title_fullStr Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique
title_full_unstemmed Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique
title_sort controller parameter optimization for an electro-hydraulic actuator system based on particle swarm optimization technique
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/17114/1/Controller%20Parameter%20Optimization%20For%20An%20Electro-Hydraulic%20Actuator%20System%20Based%20On%20Particle%20Swarm%20Optimization%20Technique.pdf
http://eprints.utem.edu.my/id/eprint/17114/
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score 13.211869