Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system

Particle Swarm Optimization (PSO) is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. The algorithm is widely used and rapidly developed because of its easy implem...

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Main Author:	Aziz, Ubaidullah
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/43934/5/UbaidullahAzizMFKE2013.pdf
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id	my-utm-ep.43934
record_format	uketd_dc
spelling	my-utm-ep.439342017-07-11T04:06:10Z Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system 2013-06 Aziz, Ubaidullah TK Electrical engineering. Electronics Nuclear engineering Particle Swarm Optimization (PSO) is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. The algorithm is widely used and rapidly developed because of its easy implementation and few particles required to be tuned. In this project, one of the most popular Model Predictive Control namely Generalized Predictive Controller will be optimized and tuned by using PSO. The performance of GPC controller is optimized and evaluated by using PSO and Binary Particle Swarm Optimization (BPSO) is compared. These two (2) techniques are used as controller parameter setting to monitor the position of Pneumatic Actuator System. Result will be presented in simulation and real-time approach. MATLAB Simulink is used as the platform to obtain the result and a DAQ (Data Acquisition) card is used as the interface for real time experiment. 2013-06 Thesis http://eprints.utm.my/id/eprint/43934/ http://eprints.utm.my/id/eprint/43934/5/UbaidullahAzizMFKE2013.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 Aziz, Ubaidullah Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system
description	Particle Swarm Optimization (PSO) is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. The algorithm is widely used and rapidly developed because of its easy implementation and few particles required to be tuned. In this project, one of the most popular Model Predictive Control namely Generalized Predictive Controller will be optimized and tuned by using PSO. The performance of GPC controller is optimized and evaluated by using PSO and Binary Particle Swarm Optimization (BPSO) is compared. These two (2) techniques are used as controller parameter setting to monitor the position of Pneumatic Actuator System. Result will be presented in simulation and real-time approach. MATLAB Simulink is used as the platform to obtain the result and a DAQ (Data Acquisition) card is used as the interface for real time experiment.
format	Thesis
qualification_level	Master's degree
author	Aziz, Ubaidullah
author_facet	Aziz, Ubaidullah
author_sort	Aziz, Ubaidullah
title	Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system
title_short	Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system
title_full	Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system
title_fullStr	Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system
title_full_unstemmed	Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system
title_sort	particle swarm optimization (pso) approach to optimize gpc controller for pneumatic actuator system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/43934/5/UbaidullahAzizMFKE2013.pdf
_version_	1747817121706934272

Particle swarm optimization (PSO) approach to optimize GPC controller for pneumatic actuator system

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