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.
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.
KE Wandi,WU Jing,YANG Sen,QIAN Kaiyu,TIAN Zhengchao. Optimization of front suspension of sports utility vehicle based on response surface method and genetic algorithm. journal1, 2017, 51(4): 455-460.
2017, Vol. 51 
