重庆理工大学学报2025，Vol.39Issue(13)：28-34,7.DOI:10.3969/j.issn.1674-8425(z).2025.07.004
主动悬架LQR控制器多目标联合优化设计
Multi-objective joint optimization design of LQR controller for active suspension
摘要
Abstract
The introduction of in-wheel hub motor increases the unsprung mass and thus causes the negative vibration effect on electric vehicles.To address the problem,this paper analyzes the influence of passive suspension spring stiffness and shock absorber damping on the ride comfort,tire road contact,safety and active suspension energy consumption performance indicators in the active and passive integrated suspension system.To match the passive suspension spring stiffness,shock absorber damping with the active suspension LQR(Linear Quadratic Regulator)controller,a joint optimization design method combining passive suspension parameters with active suspension LQR controller parameters is proposed.The optimal passive suspension parameters and active suspension LQR controller weight matrix are solved based on the NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithms Ⅱ)multi-objective optimization algorithm.Simulation analysis shows the root mean square values of the body vertical acceleration,suspension dynamic deflection and tire dynamic displacement of the NSGA-LQR controller after joint optimization are reduced by 22.52％,26.34％and 2.30％respectively compared with those of the passive suspension system.The joint optimized NSGA-LQR controller better balances the ride comfort and safety,and improves the negative vertical vibration effect on electric vehicles.关键词
主动悬架/轮毂电机/LQR控制/NSGA-Ⅱ/平顺性Key words
active suspension/in-wheel hub motor/NSGA-Ⅱ/ride comfort分类
交通工程引用本文复制引用
徐劲力,黄振亮..主动悬架LQR控制器多目标联合优化设计[J].重庆理工大学学报,2025,39(13):28-34,7.基金项目
广西科技计划项目(202301gx0028) （202301gx0028）
