系统仿真学报 ›› 2017, Vol. 29 ›› Issue (1): 49-56.doi: 10.16182/j.issn1004731x.joss.201701008

• 仿真建模理论与方法 • 上一篇    下一篇

基于Kriging近似建模的某越野车悬架多目标优化

周红妮1, 冯樱1, 汪振晓2, 范卫兵2   

  1. 1.湖北汽车工业学院汽车动力传动与电子控制湖北省重点实验室,湖北 十堰 442002;
    2.东风汽车集团股份有限公司技术中心,湖北 武汉 430058
  • 收稿日期:2016-06-07 修回日期:2016-08-11 出版日期:2017-01-08 发布日期:2020-06-01
  • 作者简介:周红妮(1981-),女,湖北十堰,硕士,讲师,研究方向为汽车动力学仿真及其控制等。
  • 基金资助:
    湖北省自然科学基金(2014CFA120),湖北省教育厅科学技术研究计划(Q20161804),现代汽车零部件技术湖北省重点实验室开放基金(2014-08)

Multi-objective Optimization to the Suspension of an Off-road Vehicle Based on Kriging Approximate Modeling

Zhou Hongni1, Feng Ying1, Wang Zhenxiao2, Fan Weibing2   

  1. 1. Hubei Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China;
    2. Technology Center of Dongfeng Motor Group Com., Ltd, Wuhan 430058, China
  • Received:2016-06-07 Revised:2016-08-11 Online:2017-01-08 Published:2020-06-01

摘要: 以东风某越野车为样车,利用多学科优化软件iSIGHT集成ADAMS/Car,建立了独立悬架运动学仿真集成流程,提出了同时考虑悬架轮跳时定位参数变化量与变化趋势要求的悬架优化目标,并通过DOE分析与NSGA-II遗传算法实现了悬架多目标优化。为提高优化效率,利用Kriging方法建立了高精度的近似模型进行优化。结果表明:优化后两种模型的仿真曲线都向目标特性曲线靠近,优化效果良好;且采用Kriging近似模型计算速度得到极大提高。基于近似建模方法,通过多目标遗传算法和仿真集成技术,可大大提高系统设计的效率。

关键词: 独立悬架, 定位参数, iSIGHT, Kriging近似模型, 多目标优化

Abstract: Based on a Dongfeng off-road vehicle, the kinetic simulating and integrating process of the independent suspension assembly was established by integrating the multidisciplinary optimization software iSIGHT and ADAMS/Car. The optimal objective considered the variation quantity and tendency of the suspension alignment parameters as the wheels traveling was proposed, and the multi-objective optimization of the suspension was achieved by applying the DOE analysis and NSGA-II genetic algorithm. To enhance the optimal efficiency, a high-precision approximate model was established based on Kriging approximate modeling method. The results suggest both the simulating curves of two models are closing to the objective character curves after the optimizing, and the optimization results are also good. And that when using the Kriging approximate model to do the optimization, the calculating rate can be improved greatly. Based on approximate modeling method, and by using the multi-objective genetic algorithm, the simulating and integrating technology, the design efficiency of the system can be enhanced greatly.

Key words: dependent suspension, wheel alignment parameters, iSIGHT, kriging approximate model, multi-objective optimal method

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