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针对机电耦联系统改进的粒子群动力学优化方法
An Improved Dynamic Optimization Method of Particle Swarm Algorithm for Electromechanical Coupling System
【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方法的研究,提出了指数惯性权粒子群优化算法,并完成其收敛性分析。经算例验证,该优化算法在有限的时间内可以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。
【Abstract】 Dynamic optimization of electromechanical coupling system is a multi-subject problem on mechanics theory.The optimization of such a problem is studied in the paper.A new particle swarm algorithm of exponential inertia weight is presented and the astringency analysis is accomplished.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 to solve such problems.
【关键词】 粒子群算法;
机电耦合系统;
动力学优化;
【Key words】 particle swarm algorithm; electromechanical coupling system; dynamic optimization;
【Key words】 particle swarm algorithm; electromechanical coupling system; dynamic optimization;
【基金】 国家自然科学基金资助项目(50675095)
- 【文献出处】 机械设计与研究 ,Machine Design & Research , 编辑部邮箱 ,2009年02期
- 【分类号】TH-39
- 【被引频次】1
- 【下载频次】96