Position control for intelligent pneumatic actuator using generalized minimum variance control

Pneumatic actuators are finding increasing acceptance these days due to their low cost, ease of maintenance and moderately high power to weight ratio. A position model for IPA has been proposed by using system identification techniques resulted in a transfer function model. Generalized minimum varia...

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Bibliographic Details
Main Author:	Kamis, Zalina
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/48582/1/ZalinaKamisMFKE2014.pdf
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id	my-utm-ep.48582
record_format	uketd_dc
spelling	my-utm-ep.485822020-02-05T07:52:25Z Position control for intelligent pneumatic actuator using generalized minimum variance control 2014 Kamis, Zalina TJ Mechanical engineering and machinery Pneumatic actuators are finding increasing acceptance these days due to their low cost, ease of maintenance and moderately high power to weight ratio. A position model for IPA has been proposed by using system identification techniques resulted in a transfer function model. Generalized minimum variance control (GMVC) is one of the commonly control algorithms that used in the pneumatic actuators area. The performance of an algorithm is obtained by combining a generalized minimum variance control with a recursive estimator for the controller parameters. In this project, an indirect self-tuning generalized minimum variance control is used to assure the system output response can track any changes in the reference set point. This project aims to design generalized minimum variance controller to control the position of the IPA. The controller will be designed using MATLAB/SIMULINK based on the proposed models. The simulations results will be compared with the other types of controller (fuzzy logic controller) simulation results in order to see the performance of the GMVC. 2014 Thesis http://eprints.utm.my/id/eprint/48582/ http://eprints.utm.my/id/eprint/48582/1/ZalinaKamisMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79466?queryType=vitalDismax&query=Position+control+for+intelligent+pneumatic+actuator+using+generalized+minimum+variance+control&public=true masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Kamis, Zalina Position control for intelligent pneumatic actuator using generalized minimum variance control
description	Pneumatic actuators are finding increasing acceptance these days due to their low cost, ease of maintenance and moderately high power to weight ratio. A position model for IPA has been proposed by using system identification techniques resulted in a transfer function model. Generalized minimum variance control (GMVC) is one of the commonly control algorithms that used in the pneumatic actuators area. The performance of an algorithm is obtained by combining a generalized minimum variance control with a recursive estimator for the controller parameters. In this project, an indirect self-tuning generalized minimum variance control is used to assure the system output response can track any changes in the reference set point. This project aims to design generalized minimum variance controller to control the position of the IPA. The controller will be designed using MATLAB/SIMULINK based on the proposed models. The simulations results will be compared with the other types of controller (fuzzy logic controller) simulation results in order to see the performance of the GMVC.
format	Thesis
qualification_level	Master's degree
author	Kamis, Zalina
author_facet	Kamis, Zalina
author_sort	Kamis, Zalina
title	Position control for intelligent pneumatic actuator using generalized minimum variance control
title_short	Position control for intelligent pneumatic actuator using generalized minimum variance control
title_full	Position control for intelligent pneumatic actuator using generalized minimum variance control
title_fullStr	Position control for intelligent pneumatic actuator using generalized minimum variance control
title_full_unstemmed	Position control for intelligent pneumatic actuator using generalized minimum variance control
title_sort	position control for intelligent pneumatic actuator using generalized minimum variance control
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48582/1/ZalinaKamisMFKE2014.pdf
_version_	1747817425636687872

Position control for intelligent pneumatic actuator using generalized minimum variance control

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