摘要
针对前悬架性能的优化问题,提出一种基于近似模型并用响应面法和改进NSGA-Ⅱ遗传算法相结合的方法对前悬架进行优化设计。利用ADAMS/Car建立双叉臂前悬架动力学仿真分析模型,在Insight中对悬架的硬点参数进行灵敏度分析,选择出灵敏度大的设计参数,并建立响应面近似模型,运用改进NSGA-Ⅱ算法对悬架进行硬点优化设计。结果表明,优化后的前轮定位参数在车轮跳动过程中的变化量明显减小,悬架的性能得到很好的提高,该设计方法实现了悬架硬点的优化,为悬架的优化设计提供了依据。
To optimize the performance of the front suspension,the front suspension were optimized based on approximate model by the response surface method and improved genetic algorithm method.The simulation model of double arm suspension was established by ADAM S/Car,and the suspension structural point parameters’sensitivity was analyzed by Insight.Then,for the greater sensitivity of design parameters,the response surface approximate model was established and optimized,using the improved N SGA-II algorithm.It shows that the optimization of the optimal alignment parameters was reduced in the process of wheel jumping,and the performance of suspension was improved.Besides,the method realized optimization of suspension hard points and provided the basis for the optimization design of the suspension.
作者
宋年秀
张利
于明晓
SONG Nian-xiu;ZHANG Li;YU Ming-xiao(School of Automobile and Traffic,Qingdao University of Technology,Shandong Qingdao 266520,China)
出处
《机械设计与制造》
北大核心
2018年第4期58-60,64,共4页
Machinery Design & Manufacture
基金
国家自然科学基金(51178231)
关键词
悬架性能
响应面法
改进遗传算法
近似模型
灵敏度分析
Suspension Performance
Response Surface Methodology
Improved Genetic Algorithm
Approximate Model
Sensitivity Analysis
