湖南大学学报（自然科学版）2011，Vol.38Issue(6)：27-32,6.
基于响应面法和NSGA-Ⅱ算法的麦弗逊悬架优化
Macpherson Suspension Parameter Optimization Based on Response Surface Method and NSGA-II Algorithm
摘要
Abstract
The response surface method and an Improved Nondominate Sorting Genetic Algorithm(NS-GA-Ⅱ) were applied to optimize suspension structural parameters. The design parameters' sensitivity was analyzed by ADAMS/Insight. And then,for the greater sensitivity of design parameters, a second-order response surface approximate model , which explicitly expresses the approximate relationship between the design parameters and the wheel alignment parameters maximum variation in the wheel beating, was established. Finally, the model's stability was analyized and the improved NSGA-Ⅱ with an elitist preserve strategy and removing duplicates individual algorithm were used to solve the multi-objective optimization problem. The optimization results indicate that these methods have high accuracy and validity.关键词
响应面法/NSGA-Ⅱ/灵敏度分析/定位参数/多目标优化Key words
response surface methods/ NSGA-Ⅱ/ sensitivity analysis/ alignment parameters / multi-objective optimization分类
交通工程引用本文复制引用
李伟平,王世东,周兵,张利轩,马义超..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):27-32,6.基金项目
教育部长江学者与创新团队发展计划资助项目(531105050037) （531105050037）
湖南大学汽车车身先进设计制造国家重点实验室自主课题资助项目(61075001) （61075001）
长沙市科技计划资助项目(K0904036-11) （K0904036-11）
湖南大学中央高校基本科研业务费:青年教师科技创新扶持项目(531107040151) （531107040151）
