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:
Online Access: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
http://irep.iium.edu.my/40618/
http://inderscience.metapress.com/content/119993/?p=a6768ed0c23b4d14a7e7ba3d1c0c7174&pi=0
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
English
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Summary: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.