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

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)

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Abstract

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.

Item Type: Article (Journal)
Additional Information: 4694/40618
Uncontrolled Keywords: off-road vehicle; full car model; semi-active system; hybrid control; genetic algorithm; optimisation
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1001 Transportation engineering (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Engr. Dr. Fadly Jashi Darsivan Ridhuan
Date Deposited: 28 Jan 2015 12:07
Last Modified: 20 Jun 2018 16:39
URI: http://irep.iium.edu.my/id/eprint/40618

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