机电耦联系统指数惯性权粒子群动力学优化方法  

A Dynamic Optimization Method for Electromechanical Coupling System by Exponential Inertia Weight Particle Swarm Algorithm

作　　者：李强[1] 武建新[2] 孙燕[2] 

机构地区：[1]北方工业大学,北京100144 [2]内蒙古工业大学机械学院,呼和浩特100051

出　　处：《机械科学与技术》2009年第3期286-290,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(50675095)资助

摘　　要：机电耦合系统动力学优化是多学科交叉的机电一体化理论问题,本文针对该类问题进行了优化建模及优化方法的研究,提出了指数惯性权粒子群优化算法,完成其收敛性分析。经算例验证,该优化算法在有限的时间内可得到具有工程实用价值的优化结果,是解决该类问题的有效途径。Dynamic optimization of an electromechanical coupling system is a multi-subject problem. The modeling method and optimization of such kind of problem is studied in this paper. A new kind of exponential inertia weight particle swarm algorithm is presented and the astringency analysis is finished. The results of application example proved that practical optimization parameters can be obtained in limited time by the method, and it is an effective way for solving such kind of problem.

关 键 词：粒子群算法 机电耦合系统 动力学优化 

分 类 号：TH113.2[机械工程—机械设计及理论]