基于响应面法和遗传算法的某SUV前悬优化
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摘要
为了提高SUV的操纵稳定性,实现越野车型前悬架性能的优化,以某SUV的前悬架为研究对象,以多体动力学为基础,利用ADAMS/Car软件建立了某中大型SUV的前悬架装配动力学模型.采用灵敏度分析选取对前轮定位参数影响大的关键点作为优化变量,基于响应面法建立了3种阶次的响应面模型.在MATLAB中运用遗传算法得到了响应面模型目标函数的最优解,最后对各优化结果进行对比分析.研究结果表明响应面法能较精确地表示前轮定位参数,遗传算法优化可以明显减小前轮同向跳动过程中定位参数的变化量.
In order to improve the handling stability of sports utility vehicle and achieve the optimization of front suspension performance,front suspension of a sports utility vehicle was established in application of Automatic Dynamic Analysis of Mechanical systems(ADAMS)based on multi-body system dynamics.The sensitivity of design parameters was analyzed by ADMAS/Insight.Key design variables which play important roles in alignment parameters of front wheels were chosen.Then,according to RSM(Response Surface Method),three different orders of response surface model were built.Next,Genetic algorithm was applied to get optimal solution of objective function.Finally,from comparing different optimization results,it indicates that RSM is able to accurately represent the alignment parameters,and genetic algorithm optimization will significantly reduce the variation of alignment parameters in the process of parallel wheel travel.
In order to improve the handling stability of sports utility vehicle and achieve the optimization of front suspension performance,front suspension of a sports utility vehicle was established in application of Automatic Dynamic Analysis of Mechanical systems(ADAMS)based on multi-body system dynamics.The sensitivity of design parameters was analyzed by ADMAS/Insight.Key design variables which play important roles in alignment parameters of front wheels were chosen.Then,according to RSM(Response Surface Method),three different orders of response surface model were built.Next,Genetic algorithm was applied to get optimal solution of objective function.Finally,from comparing different optimization results,it indicates that RSM is able to accurately represent the alignment parameters,and genetic algorithm optimization will significantly reduce the variation of alignment parameters in the process of parallel wheel travel.
引文
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[6]宋晓琳,毛开楠,李叶松,等.麦弗逊前悬架硬点参数的灵敏度分析和优化[J].现代制造工程,2011(6):106-110.
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[10]王延克.基于响应面法的汽车悬架系统优化设计[D].西安:西安交通大学,2006.
[2]LAGER T H,IVERSEN T K,MOURITSEN O,et al.Suspension system performance optimization with discrete design variables[J].Structural and Multidisciplinary Optimization,2013,47(4):621-630.
[3]唐应时,朱位宇,朱彪.基于轮胎磨损的悬架与转向系统硬点优化[J].汽车工程,2013,35(7):640-644.
[4]谷正气,赵荣远,杨易.基于多体动力学的悬架优化对汽车侧风稳定性影响研究[J].科技导报,2008,26(8):48-48.
[5]潘云伟,胡启国,罗天洪.基于遗传算法的悬架系统的优化和仿真[J].重庆交通大学学报(自然科学版),2013,32(5):1068-1070.
[6]宋晓琳,毛开楠,李叶松,等.麦弗逊前悬架硬点参数的灵敏度分析和优化[J].现代制造工程,2011(6):106-110.
[7]陈黎卿,陈无畏,何钦章.双横臂扭杆独立悬架多目标遗传优化设计[J].中国机械工程,2007,18(17):2122-2125.
[8]李伟平,王世东,周兵,等.基于响应面法和NSGA—II算法的麦弗逊悬架优化[J].湖南大学学报(自然科学版),2011,38(6):27-32.
[9]秦东晨.面向运动型多功能车操纵稳定性的建模、仿真与优化[D].武汉:华中科技大学,2007.
[10]王延克.基于响应面法的汽车悬架系统优化设计[D].西安:西安交通大学,2006.