基于粒子群算法的后桥可靠性稳健优化设计  

ROBUST OPTIMIZATION DESIGN OF RELIABILITY ON REAR-AXLES BASED ON PARTICLE SWARM OPTIMIZATION

作　　者：张义民[1] 刘仁云[2] 刘巧伶[2] 

机构地区：[1]东北大学机械工程与自动化学院,沈阳110004 [2]吉林大学南岭校区机械科学与工程学院

出　　处：《机械强度》2007年第5期774-778,共5页Journal of Mechanical Strength

基　　金：国家自然科学基金资助项目(50175043)~~

摘　　要：为提高车辆零部件的安全性和稳健性,应用可靠性稳健优化设计理论和多目标决策方法,将车辆后桥的可靠性稳健优化设计转化为多目标优化问题。通过模糊多目标粒子群算法求出所有满足约束性条件的pareto解集,结合实际情况,依据pareto解集确定零部件的设计规格。实验表明,所提方法能迅速有效地获得可靠性稳健设计的信息。In order to improve the safety and robustness of vehicle component, the robust optimization design of reliability （RODR） on vehicle rear-axle is transformed into multi-objective optimization problem by the multi-objective decision-making approach and the theory of RODR. The pareto solution-set satisfying all of constraint conditions is given by fuzzy multi-objective particle swarm algorithm. According to the actual situation, the design standard of component is decided by the pareto solution-set. The experiment shows that this approach proposed is quick and effective for obtaining information of RODR.

关 键 词：稳健设计 模糊多目标粒子群算法 随机摄动法 多目标优化 

分 类 号：U463[机械工程—车辆工程] TH123[交通运输工程—载运工具运用工程]