汽车悬架优化过程的Pareto最优解*

作者：饶江，胡树根*，宋小文，王耘 日期：2010-06-28/span> 浏览：3735 查看PDF文档

汽车悬架优化过程的Pareto最优解*
饶江，胡树根*，宋小文，王耘
（浙江大学 能源工程学系，浙江 杭州 310027）

摘要：针对悬架优化过程目标函数相互冲突的问题，建立了四自由度半车模型，并施加随机路面激励，在此基础上研究了悬架多目标优化（MOP）。采用Matlab软件m文件与Simulink相结合的方法对悬架刚度、阻尼参数进行了数值模拟，分析了刚度或阻尼变化时悬架动行程与车身加速度之间的变化关系，并提出了一种通过数值模拟求解两目标函数优化下Pareto最优解的方法。研究结果表明，该方法可以有效地获得悬架动行程及车身加速度两目标函数下的优化解。
关键词：Pareto最优；随机路面；数值模拟；多目标优化
中图分类号：TH12；U461.4文献标识码：A文章编号：1001-4551(2010)06-0028-04

Pareto optimal solution of vehicle suspension optimization

RAO Jiang, HU Shugen, SONG Xiaowen, WANG Yun
（Department of Energy Engineering, Zhejiang University, Hangzhou 310027, China）

Abstract: Aiming at the conflicting problem between each objective function during suspension optimization, multiobjective optimization(MOP) was studied, based on four degrees of freedom model and random road excitation. A method of combining m file and Simulink file was used to do numerical simulation of suspension parameters, stiffness and damping. The relationship between suspension travel and body acceleration with different stiffness or damping was analyzed. A numerical simulation method for solving twoobjective function optimization was proposed. The results show that the method can effectively obtain the Pareto optimal solution of suspension travel and body acceleration.
Key words: Pareto optimal; random road; numerical simulation; multiobjective optimize (MOP)