Optimisation and control of semi–active suspension using genetic algorithm for off–road full vehicle. (24th December 2014)

• Record Type: Journal Article
• Authors: BenLahcene, Zohir; Faris, Waleed F.; Ihsan, Sany Izan; Darsivan, Fadly Jashi
• Is Part Of: International journal of vehicle systems modelling and testing. Volume 9:Number 3/4(2014)
• Page Start: 372
• Page End: 382
• Publication Date: 2014-12-24
• Subjects: off–road vehicles -- full car models -- hybrid control -- genetic algorithms -- optimisation -- vehicle modelling -- semi–active suspension -- vehicle suspension -- bouncing acceleration -- ride comfort -- pitch and roll acceleration -- vehicle vibration; Motor vehicles -- Design and construction -- Periodicals; Motor vehicles -- Testing -- Periodicals; Motor vehicles -- Mathematical models -- Periodicals; 629.2310151
• Languages: English
• ISSNs: 1745-6436

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.