Intelligent robust control of active suspension system

This project presents a modelling and control of an active suspension system with hydraulic actuator dynamic for a quarter car model. The objective of designing a controller for the car suspension system is to improve the ride comfort while maintaining the constraints on to the suspension travel and...

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Bibliographic Details
Main Author:	Moqbel Obaid, Mahmood Ali
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/32193/5/MahmoodAliMoqbelMFKE2011.pdf
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id	my-utm-ep.32193
record_format	uketd_dc
spelling	my-utm-ep.321932018-05-27T07:42:29Z Intelligent robust control of active suspension system 2011-05 Moqbel Obaid, Mahmood Ali TJ Mechanical engineering and machinery This project presents a modelling and control of an active suspension system with hydraulic actuator dynamic for a quarter car model. The objective of designing a controller for the car suspension system is to improve the ride comfort while maintaining the constraints on to the suspension travel and tire deformation subject to different road profile. In this research, a cascade control algorithm which consists of the inner loop controller for force tracking control of the hydraulic actuator model and the outer loop controller for disturbance rejection control is proposed. Particle swarm optimization (PSO) algorithm is employed to optimize the PI controller parameters for force tracking control of the hydraulic actuator model. The outer loop controller utilizes a sliding mode controller scheme which incorporates PSO algorithm to efficiently reduce the influence of mismatched disturbance during sliding motion. In addition to that, the performance of the proposed sliding mode controller is compared with the LQR controller and the existing passive suspension system. Similarly, the values of Q and R for the LQR controller are optimized by PSO algorithm. A simulation study is performed to show the effectiveness and robustness of the proposed control algorithm. Eventually the results prove that the proposed controller improves the ride comfort by maintaining the other constrains (the suspension travel, tire deflection, and control force) in their limits. 2011-05 Thesis http://eprints.utm.my/id/eprint/32193/ http://eprints.utm.my/id/eprint/32193/5/MahmoodAliMoqbelMFKE2011.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69735?site_name=Restricted Repository 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 Moqbel Obaid, Mahmood Ali Intelligent robust control of active suspension system
description	This project presents a modelling and control of an active suspension system with hydraulic actuator dynamic for a quarter car model. The objective of designing a controller for the car suspension system is to improve the ride comfort while maintaining the constraints on to the suspension travel and tire deformation subject to different road profile. In this research, a cascade control algorithm which consists of the inner loop controller for force tracking control of the hydraulic actuator model and the outer loop controller for disturbance rejection control is proposed. Particle swarm optimization (PSO) algorithm is employed to optimize the PI controller parameters for force tracking control of the hydraulic actuator model. The outer loop controller utilizes a sliding mode controller scheme which incorporates PSO algorithm to efficiently reduce the influence of mismatched disturbance during sliding motion. In addition to that, the performance of the proposed sliding mode controller is compared with the LQR controller and the existing passive suspension system. Similarly, the values of Q and R for the LQR controller are optimized by PSO algorithm. A simulation study is performed to show the effectiveness and robustness of the proposed control algorithm. Eventually the results prove that the proposed controller improves the ride comfort by maintaining the other constrains (the suspension travel, tire deflection, and control force) in their limits.
format	Thesis
qualification_level	Master's degree
author	Moqbel Obaid, Mahmood Ali
author_facet	Moqbel Obaid, Mahmood Ali
author_sort	Moqbel Obaid, Mahmood Ali
title	Intelligent robust control of active suspension system
title_short	Intelligent robust control of active suspension system
title_full	Intelligent robust control of active suspension system
title_fullStr	Intelligent robust control of active suspension system
title_full_unstemmed	Intelligent robust control of active suspension system
title_sort	intelligent robust control of active suspension system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2011
url	http://eprints.utm.my/id/eprint/32193/5/MahmoodAliMoqbelMFKE2011.pdf
_version_	1747815944047034368

Intelligent robust control of active suspension system

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