Optimisation and control of semi-active suspension using genetic algorithm for off-road full vehicle
by Zohir BenLahcene; Waleed F. Faris; Sany Izan Ihsan; Fadly Jashi Darsivan
International Journal of Vehicle Systems Modelling and Testing (IJVSMT), Vol. 9, No. 3/4, 2014

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.

Online publication date: Tue, 30-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Systems Modelling and Testing (IJVSMT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com