Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator

Pneumatic actuator system is highly nonlinear and time varying due to many factors such as friction, load variations, air compressibility, dead-time and leakage. Therefore handling and controlling the pneumatic actuator required a specific knowledge and suitable control strategy. In this project, th...

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Main Author:	Mohd. Ishak, Hirzi
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/41786/5/HizriMohdIshakMFKE2013.pdf
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id	my-utm-ep.41786
record_format	uketd_dc
spelling	my-utm-ep.417862017-07-17T04:35:55Z Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator 2013-06 Mohd. Ishak, Hirzi TK Electrical engineering. Electronics Nuclear engineering Pneumatic actuator system is highly nonlinear and time varying due to many factors such as friction, load variations, air compressibility, dead-time and leakage. Therefore handling and controlling the pneumatic actuator required a specific knowledge and suitable control strategy. In this project, the optimization of pneumatic actuator system which primarily consists of proportional valve and double acting cylinder are presented. The optimization methods that are chose is Harmony Search Algorithm (HSA) which recently introduced and developed and the other one is Particle Swamp Optimization (PSO); population based stochastic optimization technique that inspired by social behaviour of bird flocking or fish schooling. The optimization techniques will be tested by simulation using MATLAB Simulink and then validated by real time experiment. The tracking performances of both techniques are compared and the results show that the HSA provides a better tracking performance compared to the PSO. 2013-06 Thesis http://eprints.utm.my/id/eprint/41786/ http://eprints.utm.my/id/eprint/41786/5/HizriMohdIshakMFKE2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohd. Ishak, Hirzi Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
description	Pneumatic actuator system is highly nonlinear and time varying due to many factors such as friction, load variations, air compressibility, dead-time and leakage. Therefore handling and controlling the pneumatic actuator required a specific knowledge and suitable control strategy. In this project, the optimization of pneumatic actuator system which primarily consists of proportional valve and double acting cylinder are presented. The optimization methods that are chose is Harmony Search Algorithm (HSA) which recently introduced and developed and the other one is Particle Swamp Optimization (PSO); population based stochastic optimization technique that inspired by social behaviour of bird flocking or fish schooling. The optimization techniques will be tested by simulation using MATLAB Simulink and then validated by real time experiment. The tracking performances of both techniques are compared and the results show that the HSA provides a better tracking performance compared to the PSO.
format	Thesis
qualification_level	Master's degree
author	Mohd. Ishak, Hirzi
author_facet	Mohd. Ishak, Hirzi
author_sort	Mohd. Ishak, Hirzi
title	Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
title_short	Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
title_full	Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
title_fullStr	Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
title_full_unstemmed	Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
title_sort	application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/41786/5/HizriMohdIshakMFKE2013.pdf
_version_	1747816617798008832

Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator

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