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

Authors: Zohir BenLahcene; Waleed F. Faris; Sany Izan Ihsan; Fadly Jashi Darsivan

Addresses: Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia ' Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia ' Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia ' Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia

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.

Keywords: 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.

DOI: 10.1504/IJVSMT.2014.066514

International Journal of Vehicle Systems Modelling and Testing, 2014 Vol.9 No.3/4, pp.372 - 382

Published online: 30 Dec 2014 *

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