Ezponential inertia weight particle swarm algorithm for Dynamics optimization of electromechanical coupling system
Aiming at the electromechanical coupling system dynamics optimization of spindle unit of refitted machine tool for solid rocket, the optimization modeling is presented on the basis of system differential equations. The research job in the paper reveals that the global optimization efficiency can be enhanced greatly, when the weight value of the swarm particle algorithm can be changed with special exponential function. So, a kind of new particle swarm algorithm, Exponential inertia weight Particle Swarm Optimization (EPSO), is formed by adopting exponential inertia weight function. Based on above research job, the optimized design parameters of the spindle unit of refitted machine tool for solid rocket are obtained in limit time period, and the engineering problem of dynamic optimization of electromechanical system is solved successfully by the method of EPSO. The results are the innovative achievements in the field of mechatronics, and have broad application prospects in the design of robots, NC machine, and electromechanical equipments.
particle swarm algorithm electromechanical coupling system dynamics optimization
WU Jianxin ZHAO WeiGuo HEXiangXin WANG Rui
College of mechanical engineering Inner Mongolia University of Technology Hohhot,China
国际会议
上海
英文
1382-1386
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）