基于遗传算法的两级轮边减速器可靠性优化  

Reliability Optimization of Double-Stage Wheel Hub Reducer Based on Genetic Algorithm

作　　者：邓勋[1] 张文明[1] 

机构地区：[1]北京科技大学土木与环境工程学院,北京100083

出　　处：《中北大学学报（自然科学版）》2009年第6期561-566,共6页Journal of North University of China(Natural Science Edition)

基　　金：国家十一五资助项目(2006BAB11B03)

摘　　要：在保证双级行星齿轮传动系统可靠性的前提下,尽可能使轮边减速器得到最小体积.利用多目标改进的遗传算法进行优化设计.使用iS IGHT软件遗传算法工具箱对其进行了优化计算.对多目标遗传算法的改进进行了研究.改进了遗传编码,选择算子,局部的搜索过程等.与行星齿轮系统的普通优化相比,因遗传算法不要求目标函数连续可微,并通过改进形成了局部贪婪性搜索过程,增强了遗传算法的局部搜索能力.因此比普通优化结果提高了13.3%,并且这一结果已经在工程应用中得到了证实.同时也验证了改进的遗传算法对解决多目标优化问题的可行性和优越性.Under the condition of ensuring the reliability of the double-stage planetary gear system,the volume of the wheel hub reducer should be as minimal as possible.The optimization design took advantage of an improved multi-objective genetic algorithm（GA）,and the optimization system was calculated by iSIGHT software.The genetic code,operator selection and the local searching process were improved.Compared with the ordinary optimization,the genetic algorithm does not require the objective function continuously differentiable,and the local searching capability can be enhanced by forming the local greedy search process.Therefore,the result is improved by 13.3% than that of general optimization,and the result has been proved furthermore by practical products.Meanwhile,the research verified the feasibility and superiority of the improved genetic algorithm for solving multi-objective optimization problem.

关 键 词：遗传算法 双级轮边减速器 多目标优化 可靠性 

分 类 号：TH122[机械工程—机械设计及理论] U463.218.2[机械工程—车辆工程]