角接触球轴承的罚函数粒子群算法优化设计  

Optimization Design of Penalty Function Particle Swarm Optimization Algorithm for Angular Contact Ball Bearings

作　　者：胡启国[1] 杜春超 吴明钦 杨学蛟 曹历杰 HU Qiguo;DU Chunchao;WU Mingqin;YANG Xuejiao;CAO Lijie(School of Mechatronic and Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400074,China;Institute of Safety and Environmental Quality Supervision Inspection,Chuanqing Drilling Engineering Company,Guanghan 618300,Sichuan,China)

机构地区：[1]重庆交通大学,机电与车辆工程学院,重庆400074 [2]川庆钻探工程公司安全环保质量监督检测研究院,四川广汉618300

出　　处：《重庆交通大学学报（自然科学版）》2021年第9期145-150,共6页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：国家自然科学基金资助项目(51375519);重庆市基础科学与前沿技术研究专项基金项目(cstc2015jcyjBX0133)。

摘　　要：为了提高角接触球轴承的性能,以双列角接触球轴承的额定动载荷和额定静载荷最大为优化目标建立了双列角接触球轴承结构的多目标优化模型。针对普通粒子群算法易于陷入局部最优的缺陷和不能有效解决带约束条件的优化问题,基于标准粒子群算法,在目标函数中加入惩罚项,将带约束条件的优化问题转变成无约束优化问题。最后以3210角接触球轴承为算例,通过提出的罚函数粒子群算法对其进行了优化设计,经优化后,轴承动、静载荷额定值各自提高了66.46%和70.60%。结果表明,采用罚函数粒子群算法能较好的提高角接触球轴承的性能。In order to improve the performance of angular contact ball bearings,a multi-objective optimization model of double-row angular contact ball bearing structure was established with the rated dynamic load and rated static load of double-row angular contact ball bearings as the optimization target.Aiming at the defects that ordinary particle swarm algorithm was easy to fall into local optimum and couldn’t effectively solve the optimization problem with constraints,apenalty term was added into the objective function to transform the optimization problem with constraints into an unconstrained optimization problem,which was based on the standard particle swarm optimization algorithm.Taking the 3210angular contact ball bearing as an example,the proposed penalty function particle swarm optimization algorithm was used to optimize the design.After optimization,the rated value of dynamic load and static load of the bearing were increased by 66.46%and 70.60%respectively.The results show that the performance of angular contact ball bearing can be improved by using penalty function particle swarm optimization algorithm.

关 键 词：车辆工程 角接触轴承 优化设计 粒子群算法 多目标优化 

分 类 号：U467[机械工程—车辆工程] TH133.33[交通运输工程—载运工具运用工程]