摘要
针对优化座椅和悬架系统舒适性算法单一、效率低的问题,提出了一种ISIGHT的Pointer组合型多目标优化方法。以驾驶员座椅和悬架系统为研究对象,建立1/2汽车5自由度振动模型,把驾驶员垂直方向的加速度均方根值和车身质心处的俯仰角加速度均方根值作为优化目标,运用将不同优化算法组合的方法对驾驶员座椅和悬架系统进行优化,并对参数与目标函数的相关性进行分析。优化结果表明,所提方法可对较复杂的汽车座椅和悬架系统结构参数进行优化,并获得最优解集,从而有效改善汽车的行驶平顺性及驾驶员的驾驶舒适性,且通过相关性分析为悬架及驾驶员座椅系统设计提供参考。
Aiming at the problem of single algorithm and low efficiency of seat and suspension system optimiza- tion, a multi-objective optimization method is proposed based on ISIGHT of Pointer. Taking the driver's seat and sus- pension system as the research object, a haft-car 5 degree-of-freedom model was established. The optimization ob- jectives were established with root mean square values of seat acceleration and pitch angular-acceleration. The Point- er algorithm was used to optimize the driver's seat and suspension system. The correlation between the parameter and optimization objective was discussed. The test results show that the proposed optimization approach can be used to op- timize the structural parameters of the driver's seat and the suspension system, and obtain the Pareto optimal solu- tions, so as to effectively improve the ride comfort of the vehicle and the driving comfort. And some reference is pro- vided for the suspension and the driver's seat system design through the analysis of correlation.
出处
《计算机仿真》
北大核心
2017年第9期160-166,共7页
Computer Simulation
基金
清华大学汽车安全与节能国家重点实验室开放基金项目(KF16032)
国家自然基金项目(51275053)
北京市教委科技创新服务能力建设项目(PXM2016_014224_000004)
关键词
座椅和悬架系统
白噪声路面
组合型优化算法
多目标优化
相关性分析
Driver's seat and suspension system
White noise pavement
Composited optimizer algorithm
Multi- objective optimization
Correlation analysis