基于Deb可行性规则的粒子群算法的液压缸优化设计  

Particle Swarm Optimization Based on Deb's Feasibility Rule for Optimal Design of Hydraulic Cylinder

作　　者：李庭贵[1] 

机构地区：[1]泸州职业技术学院机械工程系,四川泸州646005

出　　处：《液压与气动》2015年第7期55-59,共5页Chinese Hydraulics & Pneumatics

基　　金：四川省应用基础研究计划(2008JY0163)

摘　　要：建立带有反向柱结构液压缸的约束优化设计模型,采用Deb可行性规则处理该模型中的约束条件,应用粒子群算法求解液压缸优化设计问题的全局最优解,最后给出工程实例。由仿真结果分析可知,带有反向柱结构液压缸的优化设计参数较多,应用粒子群算法是合理有效的,使液压缸的重量减轻约41%,优化效果显著。所提出的优化模型和算法是可行的,对工程优化设计具有一定参考价值。The constrained optimization model of hydraulic cylinder with the reverse column structure is estab- lished, and its constraints are handled efficiently by the Deb＇ s feasibility rule. Then, the particle swarm optimiza- tion （PSO） algorithm is applied to solve the global optimal solution for the optimization design of hydraulic cylin- der. At last, an engineering example is introduced. From the analysis of simulation results, optimizing parameters of hydraulic cylinder with reverse column structure are more, and the application of particle swarm optimization al- gorithm is reasonable and effective so that the hydraulic cylinder weight can be reduced about 41%, so the optimiza- tion effect is remarkable. The optimization model and algorithm presented in this paper are feasible, and have a certain reference value for engineering optimization design.

关 键 词：约束优化设计 粒子群算法 液压缸 Deb可行性规则 

分 类 号：TH137[机械工程—机械制造及自动化] TH112.1