基于Kriging近似模型的某轿车前悬架不确定性优化

中国机械工程 ›› 2012, Vol. 23 ›› Issue (24): 3006-3012.

基于Kriging近似模型的某轿车前悬架不确定性优化

李伟平;张宝珍;王磊;谢锋

湖南大学汽车车身先进设计制造国家重点实验室,湖南,410082

出版日期:2012-12-25 发布日期:2013-01-06
基金资助:
国家高技术研究发展计划（863计划）资助项目(2012AA111802);长沙市科技计划资助项目（K0904036-11）
National High-tech R&D Program of China (863 Program) （No. 2012AA111802）;
Science and Technology program of Changsha ( No. K0904036-11)

Front Suspension Uncertainty Optimization of a Car Based on Kriging Approximation Model

Li Weiping;Zhang Baozhen;Wang Lei;Xie Feng

State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University,Changsha,410082

Online:2012-12-25 Published:2013-01-06
Supported by:

National High-tech R&D Program of China (863 Program) （No. 2012AA111802）;
Science and Technology program of Changsha ( No. K0904036-11)

摘要/Abstract

摘要：

针对前悬架确定性优化没有考虑参数不确定性时存在的问题，提出了一种考虑不确定性因素的前悬架不确定性优化方法。应用ADAMS/Car建立了某轿车麦弗逊式前悬架模型,在ADAMS/Insight中进行了悬架设计硬点参数的灵敏度分析，针对灵敏度较大的设计硬点参数和所考虑的不确定性量，建立了车轮定位参数在车轮跳动过程中的Kriging近似模型，简化了优化过程。针对该近似模型进行了动力学分析,运用经过改进的非支配排序遗传算法(NSGA-Ⅱ)和隔代遗传算法(IP-GA)进行了多目标不确定性优化求解。优化结果表明,该不确定性优化方法具有较高的有效性和精确性。与确定性优化结果的对比表明,不确定性优化具有更好的鲁棒性。


关键词: 不确定性优化, 灵敏度分析, Kriging近似模型, 多目标优化

Abstract:

For the optimization of a front suspension was almost based on certainty optimization without considering all kinds of uncertainty in the process of practical work,a uncertainty optimization method of the front suspension was proposed. Macpherson suspension model of a car was built based on ADAMS/Car.The design parameter's sensitivity was analyzed by ADAMS/insight.And then,a Kriging approximate model was established for the greater sensitivity of design parameters and uncertain parameters in the wheel beating which simplified the optimization process.The model's stability was analyzed,the NSGA-Ⅱ and the IP-GA were used to solve the multi-objective uncertainty optimization problem.The optimization results indicate that these methods have high accuracy and validity.
Finally,the results were compared with those of certainty optimization,which proves that
uncertainty optimization has better robustness.

Key words: uncertainty optimization, sensitivity analysis, Kriging approximation model, multi-objective optimization

中图分类号:

U462.3

李伟平, 张宝珍, 王磊, 谢锋. 基于Kriging近似模型的某轿车前悬架不确定性优化[J]. 中国机械工程, 2012, 23(24): 3006-3012.

LI Wei-Beng, ZHANG Bao-Zhen, WANG Lei, XIE Feng. Front Suspension Uncertainty Optimization of a Car Based on Kriging Approximation Model[J]. China Mechanical Engineering, 2012, 23(24): 3006-3012.

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