基于多工况并行任务的摩托车悬架参数多目标优化  

Multi-objective optimization for motorcycle suspension parameters based on parallel tasks under different conditions

作　　者：徐中明[1,2] 杨建国[2] 张志飞[2] 李仕生[2] 李晓灵 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400030 [2]重庆大学机械工程学院,重庆400030 [3]重庆建设摩托车股份有限公司,重庆400054

出　　处：《振动与冲击》2013年第4期59-65,共7页Journal of Vibration and Shock

基　　金：高等学校博士学科点专项科研基金(20100191110004);国家自然科学基金(51105390)

摘　　要：应用摩托车动力学软件BikeSim建立了人-车系统仿真模型,对加速/制动工况下的车身俯仰角和B级路面工况下等速行驶的整车平顺性分别进行了仿真;以加速/制动工况下的俯仰角最大值和等速B级路面工况下的车身垂向、俯仰振动加速度均方根值为优化目标,以悬架特性参数为设计变量,采用iSIGHT集成BikeSim和MATLAB建立两种工况的并行计算任务,对摩托车悬架系统进行了多目标优化,根据Pareto前沿提出了一种确定目标权重的方法,得到了最优解。优化前后结果对比表明:加速/制动俯仰角和平顺性均有改善。A rider-motorcycle system model was established with the motorcycle dynamic analysis software BikeSim, the pitch angle under accelerating-braking condition and the ride comfort under grade B road stochastic excitation were simulated. The maximum pitch angle under accerating-braking condition and the pitching and vertical vibration acceleration RMS values under grade B road stochastic excitation were taken as optimization objectives, and the suspension property parameters as design variables, the parallel computing tasks were built using iSIGHT to drive BikeSim and MATLAB, the multi-objective optimization was performed for a motorcycle suspension system. A method to find the goal weights was proposed according to Pareto frontier, and the optimal solution was obtained. The optimal results showed that the maximum pitch angle under accelerating-braking condition decreases and the ride comfort under grade B road stochastic excitation is improved.

关 键 词：摩托车 俯仰角 平顺性 并行任务 多目标优化 PARETO前沿 

分 类 号：U483[交通运输工程—载运工具运用工程]