基于粒子群算法的无刷直流直线电机换相推力波动优化  

Optimization of Commutation Force Ripple of Brushless DC Linear Motor Based on Particle Swarm Optimization

作　　者：王刚[1] 李小民[1] 李治源[1] 李会来[1] 

机构地区：[1]军械工程学院,河北石家庄050003

出　　处：《微特电机》2012年第10期39-41,72,共4页Small & Special Electrical Machines

摘　　要：主要解决不同速度下的换相推力波动问题。在充分考虑各种因素的条件下,建立了提前换相、滞后换相、换相时的数学模型,对模型进行求解,其中对换相时的模型进行了详细的分析,讨论了速度对推力波动的影响。介绍了粒子群算法,并采用粒子群算法取得最优的换相时间,相比直接计算最优的换相时间,计算量小、计算简单。最后在不同的速度条件进行了仿真,验证了算法的可行性。The problem of commutation force ripple under different velocity was solved. Mathematical model of advanced commutation, lagged commutation and commutation were established taking all things into consideration. The commutation model was analyzed, and the influence of velocity to the force ripple was discussed. Particle swarm optimization （PSO） was introduced and used to calculate the optimal commutation time. Compared with the direct computation, it is easy and has less computation amount. The simulation was implemented at different velocity and the validity of theoretical analysis and algorithm were verified.

关 键 词：粒子群算法 无刷直流直线电动机 换相推力波动 提前换相 滞后换相 

分 类 号：TM359.4[电气工程—电机]