Title: Research on application of artificial intelligence model in automobile machinery control system
Authors: Xiuyu Chen
Addresses: School of Automotive Engineering, Jiujiang Vocational and Technical College, Jiujiang, 332000, China
Abstract: To improve the kinematics and ride comfort of the vehicle suspension system, this paper combines the ADAMS software with the artificial intelligence optimisation algorithm to simulate and optimise the suspension system of a certain type of off-road vehicle. The front suspension of a 1/2 virtual prototype model is established in ADAMS/view, and the kinematics analysis of the prototype model is made. In order to improve the kinematics characteristics of the front suspension, the genetic algorithm and the immune algorithm are used to optimise the positioning parameters of the front suspension based on the kinematics analysis of the suspension. The dynamic model of the whole vehicle is established in ADAMS/view, and the vehicle ride comfort is simulated and calculated. The spring stiffness and shock absorber damping of the rear suspension are optimised by using the immune algorithm, and the purpose of improving the ride comfort of the vehicle is realised.
Keywords: artificial intelligence; automobile; mechanical control system.
International Journal of Heavy Vehicle Systems, 2020 Vol.27 No.1/2, pp.83 - 96
Received: 02 Apr 2018
Accepted: 17 May 2018
Published online: 10 Jan 2020 *