汽车工程学报2024，Vol.14Issue(2)：255-263,9.DOI:10.3969/j.issn.2095‒1469.2024.02.09
基于多目标粒子群优化算法的某轻型商用车操纵稳定性优化研究
Optimizing Control and Stability of a Light Commercial Vehicle Based on MOPSO
刘锴 1邹小俊 2袁刘凯 3曹灿 3王陶 1王良模1
作者信息
- 1. 南京理工大学 机械工程学院,南京 210094
- 2. 东南大学 网络空间安全学院,南京 211189||南京依维柯汽车有限公司,南京 210037
- 3. 南京依维柯汽车有限公司,南京 210037
- 折叠
摘要
Abstract
To address the issue of large roll angle rates in the steady-state circular testing of a light commercial vehicle,its suspension system is optimized and improved.The multi-body dynamics model of the vehicle is established using ADAMS/car.The accuracy of the suspension simulation model is verified by the anti-phase parallel wheel travel test for the front suspension and theoretical calculations for the rear suspension.Through simulation analysis of the vehicle's steady-state circular test and on-center steering test,it is concluded that the roll angle rate is higher than desired.To achieve the automated process of stability optimization analysis,a co-simulation method based on modeFRONTIER is proposed.Taking the suspension design parameters as optimization variables,and targeting the roll angle rate and yaw rate time delay as the optimization objectives,a hybrid agent model was fitted using the Latin hypercube experiment design method.This model was combined with the multi-objective particle swarm optimization algorithm(MOPSO)to carry out the multi-objective optimization of the suspension system,and the optimization scheme of the suspension system is obtained.The optimization results show that,while maintaining ride comfort,the roll angle rate is reduced by 13.93%and the yaw rate time delay is reduced by 2.75%,resulting in improved vehicle control and stability.关键词
操纵稳定性/代理模型/联合仿真/多目标粒子群优化算法/ADAMS/carKey words
controlling and stability/agent model/joint simulation/multi-objective particle swarm optimization algorithm/ADAMS/car分类
交通工程引用本文复制引用
刘锴,邹小俊,袁刘凯,曹灿,王陶,王良模..基于多目标粒子群优化算法的某轻型商用车操纵稳定性优化研究[J].汽车工程学报,2024,14(2):255-263,9.
