Intelligent robust controller for semi active suspension system

A variety of semi-active suspension studies have been researched on decreasing the energy consumption and improving the system performance as fully active suspension systems because of the expense of fully active suspension systems for its actuators and execution equipments. However, the fully activ...

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Main Author:	Zeinali, Mohammadjavad
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/32194/5/MohammadjavadZeinaliMFKM2012.pdf
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id	my-utm-ep.32194
record_format	uketd_dc
spelling	my-utm-ep.321942017-09-27T08:53:39Z Intelligent robust controller for semi active suspension system 2012-07 Zeinali, Mohammadjavad TJ Mechanical engineering and machinery A variety of semi-active suspension studies have been researched on decreasing the energy consumption and improving the system performance as fully active suspension systems because of the expense of fully active suspension systems for its actuators and execution equipments. However, the fully active suspension systems are much more powerful than semi active suspension. This project has proposed an intelligent robust controller for semi active suspension due to its applications on automotive industry using Magnetorheological (MR) damper. The entire model has been simulated in Matlab/SIMULINK environment and the results are gathered to compare the influences of the different controllers on ride comfort and handling performance. Four different controllers; PID, Fuzzy, Fuzzy PD+I and Fuzzy PID controller with parallel structure were implemented into the system also two different models of MR damper, polynomial and Adaptive-Network-based Inference System (ANFIS) model, were studied to simulate the shock absorber. The results illustrate that the Fuzzy PD+I controller and Fuzzy PID controller with parallel structure have successfully reduced the effects of road profile as a disturbance. The best results are owned by Fuzzy PID controller with parallel structure because of better ride comfort and handling performance. 2012-07 Thesis http://eprints.utm.my/id/eprint/32194/ http://eprints.utm.my/id/eprint/32194/5/MohammadjavadZeinaliMFKM2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:72715?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Zeinali, Mohammadjavad Intelligent robust controller for semi active suspension system
description	A variety of semi-active suspension studies have been researched on decreasing the energy consumption and improving the system performance as fully active suspension systems because of the expense of fully active suspension systems for its actuators and execution equipments. However, the fully active suspension systems are much more powerful than semi active suspension. This project has proposed an intelligent robust controller for semi active suspension due to its applications on automotive industry using Magnetorheological (MR) damper. The entire model has been simulated in Matlab/SIMULINK environment and the results are gathered to compare the influences of the different controllers on ride comfort and handling performance. Four different controllers; PID, Fuzzy, Fuzzy PD+I and Fuzzy PID controller with parallel structure were implemented into the system also two different models of MR damper, polynomial and Adaptive-Network-based Inference System (ANFIS) model, were studied to simulate the shock absorber. The results illustrate that the Fuzzy PD+I controller and Fuzzy PID controller with parallel structure have successfully reduced the effects of road profile as a disturbance. The best results are owned by Fuzzy PID controller with parallel structure because of better ride comfort and handling performance.
format	Thesis
qualification_level	Master's degree
author	Zeinali, Mohammadjavad
author_facet	Zeinali, Mohammadjavad
author_sort	Zeinali, Mohammadjavad
title	Intelligent robust controller for semi active suspension system
title_short	Intelligent robust controller for semi active suspension system
title_full	Intelligent robust controller for semi active suspension system
title_fullStr	Intelligent robust controller for semi active suspension system
title_full_unstemmed	Intelligent robust controller for semi active suspension system
title_sort	intelligent robust controller for semi active suspension system
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/32194/5/MohammadjavadZeinaliMFKM2012.pdf
_version_	1747815944288206848

Intelligent robust controller for semi active suspension system

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