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Afzali P, Rezapour J. Multi-Objective Optimization of Vehicle Suspension System Using Meta-Heuristic Algorithms. jor 2025; 22 (2)
URL: http://jamlu.liau.ac.ir/article-1-2290-en.html

Multi-Objective Optimization of Vehicle Suspension System Using Meta-Heuristic Algorithms

P. Afzali

, J. Rezapour ^*

Department of Mechanical Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran , Javad.Rezapour@iau.ac.ir

Abstract: (95 Views)

The design of the vehicle suspension system has always been one of the important issues in mechanical engineering. The main goal of the suspension system is to reduce or eliminate the vibrations transmitted from the road to the vehicle body. In this paper, an attempt has been made to design an optimal suspension system to absorb these vibrations well by using two optimization methods, Genetic Algorithm and Particle Swarm Optimization. In the optimization process, in order to increase passenger ride comfort and increase the road holding, the parameters of damping coefficient and spring stiffness coefficient, damping coefficient and stiffness of the car seat, sprung mass and unsprung mass are adjusted. In the present paper, the driver's body and the car seat, along with the car model, are modeled as a four-degree-of-freedom system in the MATLAB/Simulink program so that passenger ride comfort and tire adhesion to the road can be examined. The simulation results provide the designer with all the optimal design points from the perspective of the objective functions, and the designer selects one of these points according to his needs.

Keywords: Suspension System, Multi-Objective Optimization, Genetic Algorithm, Particle Swarm Algorithm

Type of Study: Applicable | Subject: Special
Received: 2024/10/7 | Accepted: 2025/03/18

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