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

针对某轻型商用车稳态回转时侧倾度偏大的问题对其悬架进行优化改进。基于ADAMS/car搭建整车多体动力学模型，通过前悬架反向平行轮跳试验、后悬架理论计算验证了悬架仿真模型的准确性。进行整车稳态回转工况和转向盘中间位置转向工况仿真分析，结果表明，车身侧倾度偏高。为实现操纵稳定性优化分析的流程自动化，提出了基于modeFRONTIER的联合仿真方法。以悬架设计参数为优化变量，以汽车的侧倾度与横摆角速度响应滞后时间为优化目标，采用拉丁超立方试验设计方法拟合得到混合代理模型，并结合多目标粒子群优化算法对悬架系统进行多目标优化，获得了悬架系统优化方案。优化结果显示，在不影响平顺性的前提下，汽车车身侧倾度降低了13.93%，横摆角速度响应滞后时间降低了2.75%，整车操纵稳定性得到了提升。

Optimizing Control and Stability of a Light Commercial Vehicle Based on MOPSO

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.