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Semiactive suspension system using sky hook controller with particle swarm optimization

Skyhook control technique is the most common control algorithm applied in various engineering applications. Also, particle swarm optimization (PSO) is extensively applied in various optimization problems. This paper introduces an investigation into the use of a PSO algorithm to tune the Skyhook cont...

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Main Author: Mohd. Yamin, Ahmad Hafizal
Format: Thesis
Language:English
Published: 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/53504/1/AhmadHafizalMohdYaminMFKM2015.pdf
http://eprints.utm.my/id/eprint/53504/
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spelling my.utm.535042020-07-16T07:06:13Z http://eprints.utm.my/id/eprint/53504/ Semiactive suspension system using sky hook controller with particle swarm optimization Mohd. Yamin, Ahmad Hafizal TJ Mechanical engineering and machinery Skyhook control technique is the most common control algorithm applied in various engineering applications. Also, particle swarm optimization (PSO) is extensively applied in various optimization problems. This paper introduces an investigation into the use of a PSO algorithm to tune the Skyhook controller for a semi-active vehicle suspension system incorporating magneto-rheological (MR) damper to improve the ride comfort and vehicle stability. The proposed suspension system consists of a system controller that determine the desired damping force using a Skyhook controller tuned using PSO, and a continuous state damper controller that estimate the command voltage that is required to track the desired damping force. The PSO technique is applied to solve the nonlinear optimization problem to find the Skyhook controller gains by identifying the optimal problem solution through cooperation and competition among the individuals of a swarm. A mathematical model of a two degree-of-freedom MR-damped vehicle suspension system is derived and simulated using Matlab/SIMULINK software. The proposed PSO Skyhook controlled suspension is compared to the passive suspension systems. System performance criteria are evaluated in both time and frequency domains, in order to quantify the success of the proposed suspension system. The simulated results reflect that the proposed PSO Skyhook controller of the MR-damped vehicle suspension offers a significant improvement in ride comfort and vehicle stability. 2015-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53504/1/AhmadHafizalMohdYaminMFKM2015.pdf Mohd. Yamin, Ahmad Hafizal (2015) Semiactive suspension system using sky hook controller with particle swarm optimization. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:84924
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohd. Yamin, Ahmad Hafizal
Semiactive suspension system using sky hook controller with particle swarm optimization
description Skyhook control technique is the most common control algorithm applied in various engineering applications. Also, particle swarm optimization (PSO) is extensively applied in various optimization problems. This paper introduces an investigation into the use of a PSO algorithm to tune the Skyhook controller for a semi-active vehicle suspension system incorporating magneto-rheological (MR) damper to improve the ride comfort and vehicle stability. The proposed suspension system consists of a system controller that determine the desired damping force using a Skyhook controller tuned using PSO, and a continuous state damper controller that estimate the command voltage that is required to track the desired damping force. The PSO technique is applied to solve the nonlinear optimization problem to find the Skyhook controller gains by identifying the optimal problem solution through cooperation and competition among the individuals of a swarm. A mathematical model of a two degree-of-freedom MR-damped vehicle suspension system is derived and simulated using Matlab/SIMULINK software. The proposed PSO Skyhook controlled suspension is compared to the passive suspension systems. System performance criteria are evaluated in both time and frequency domains, in order to quantify the success of the proposed suspension system. The simulated results reflect that the proposed PSO Skyhook controller of the MR-damped vehicle suspension offers a significant improvement in ride comfort and vehicle stability.
format Thesis
author Mohd. Yamin, Ahmad Hafizal
author_facet Mohd. Yamin, Ahmad Hafizal
author_sort Mohd. Yamin, Ahmad Hafizal
title Semiactive suspension system using sky hook controller with particle swarm optimization
title_short Semiactive suspension system using sky hook controller with particle swarm optimization
title_full Semiactive suspension system using sky hook controller with particle swarm optimization
title_fullStr Semiactive suspension system using sky hook controller with particle swarm optimization
title_full_unstemmed Semiactive suspension system using sky hook controller with particle swarm optimization
title_sort semiactive suspension system using sky hook controller with particle swarm optimization
publishDate 2015
url http://eprints.utm.my/id/eprint/53504/1/AhmadHafizalMohdYaminMFKM2015.pdf
http://eprints.utm.my/id/eprint/53504/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:84924
_version_ 1674066172384903168
score 13.211869

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