Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle

The main role of a suspension system of a vehicle is to prevent the road excitations from being transmitted to the passengers. In this study, we develop and obtain a strategy to optimise the main design parameters of a semi-active suspension for a two-axle full off-road vehicle. The objective is to...

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Main Authors:	BenLahcene, Zohir, Faris, Waleed Fekry, Ihsan, Sany Izan, Ridhuan Siradj , Fadly Jashi Darsivan
Format:	Article
Language:	English English English
Published:	Inderscience Enterprises Ltd. 2014
Subjects:	TA1001 Transportation engineering (General) TL1 Motor vehicles
Online Access:	http://irep.iium.edu.my/40618/ http://irep.iium.edu.my/40618/ http://irep.iium.edu.my/40618/1/fulltext.pdf http://irep.iium.edu.my/40618/4/Optimisation_and_control_of_semi-active_suspension_using_genetic_algorithm_for_off-road_full_vehicle.pdf http://irep.iium.edu.my/40618/7/IJVSMT0903-0414_BENLACHENE.pdf

id	iium-40618
recordtype	eprints
spelling	iium-406182018-06-20T08:39:20Z http://irep.iium.edu.my/40618/ Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle BenLahcene, Zohir Faris, Waleed Fekry Ihsan, Sany Izan Ridhuan Siradj , Fadly Jashi Darsivan TA1001 Transportation engineering (General) TL1 Motor vehicles The main role of a suspension system of a vehicle is to prevent the road excitations from being transmitted to the passengers. In this study, we develop and obtain a strategy to optimise the main design parameters of a semi-active suspension for a two-axle full off-road vehicle. The objective is to minimise the maximum bouncing acceleration of the sprung mass. Owing to the importance of ride comfort for off-road vehicles, minimising the settling time and peak-to-peak of the vertical, pitch and roll acceleration would lead to better ride comfort. In solving this problem, the genetic algorithms have consistently found near-optimal solutions within specified parameters ranges for several independent runs. Inderscience Enterprises Ltd. 2014-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/40618/1/fulltext.pdf application/pdf en http://irep.iium.edu.my/40618/4/Optimisation_and_control_of_semi-active_suspension_using_genetic_algorithm_for_off-road_full_vehicle.pdf application/pdf en http://irep.iium.edu.my/40618/7/IJVSMT0903-0414_BENLACHENE.pdf BenLahcene, Zohir and Faris, Waleed Fekry and Ihsan, Sany Izan and Ridhuan Siradj , Fadly Jashi Darsivan (2014) Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle. International Journal of Vehicle Systems Modelling and Testing, 9 (3/4). pp. 372-382. ISSN 1745-6444 (O), 1745-6436 (P) http://inderscience.metapress.com/content/119993/?p=a6768ed0c23b4d14a7e7ba3d1c0c7174&pi=0
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TA1001 Transportation engineering (General) TL1 Motor vehicles
spellingShingle	TA1001 Transportation engineering (General) TL1 Motor vehicles BenLahcene, Zohir Faris, Waleed Fekry Ihsan, Sany Izan Ridhuan Siradj , Fadly Jashi Darsivan Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
description	The main role of a suspension system of a vehicle is to prevent the road excitations from being transmitted to the passengers. In this study, we develop and obtain a strategy to optimise the main design parameters of a semi-active suspension for a two-axle full off-road vehicle. The objective is to minimise the maximum bouncing acceleration of the sprung mass. Owing to the importance of ride comfort for off-road vehicles, minimising the settling time and peak-to-peak of the vertical, pitch and roll acceleration would lead to better ride comfort. In solving this problem, the genetic algorithms have consistently found near-optimal solutions within specified parameters ranges for several independent runs.
format	Article
author	BenLahcene, Zohir Faris, Waleed Fekry Ihsan, Sany Izan Ridhuan Siradj , Fadly Jashi Darsivan
author_facet	BenLahcene, Zohir Faris, Waleed Fekry Ihsan, Sany Izan Ridhuan Siradj , Fadly Jashi Darsivan
author_sort	BenLahcene, Zohir
title	Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
title_short	Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
title_full	Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
title_fullStr	Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
title_full_unstemmed	Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
title_sort	optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
publisher	Inderscience Enterprises Ltd.
publishDate	2014
url	http://irep.iium.edu.my/40618/ http://irep.iium.edu.my/40618/ http://irep.iium.edu.my/40618/1/fulltext.pdf http://irep.iium.edu.my/40618/4/Optimisation_and_control_of_semi-active_suspension_using_genetic_algorithm_for_off-road_full_vehicle.pdf http://irep.iium.edu.my/40618/7/IJVSMT0903-0414_BENLACHENE.pdf
first_indexed	2023-09-18T20:58:17Z
last_indexed	2023-09-18T20:58:17Z
_version_	1777410451851706368

Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle

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