华中师范大学学报（自然科学版）2017，Vol.51Issue(4)：455-460,6.DOI:10.19603/j.cnki.1000-1190.2017.04.007
基于响应面法和遗传算法的某SUV前悬优化
Optimization of front suspension of sports utility vehicle based on response surface method and genetic algorithm
摘要
Abstract
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.关键词
前悬架优化/ADAMS/响应面法/遗传算法/多体系统动力学Key words
optimization of front suspension/ADAMS/response surface method/genetic algorithm/multi-body system dynamics分类
交通工程引用本文复制引用
柯婉頔,吴婧,杨森,钱开宇,田正超..基于响应面法和遗传算法的某SUV前悬优化[J].华中师范大学学报（自然科学版）,2017,51(4):455-460,6.基金项目
国家自然科学基金项目(51501136). （51501136）
