摘要
高性能的伺服驱动器参数整定需要参考永磁同步电机的相关参数。针对表贴式永磁同步电机的多参数辨识,设计了一种基于标准粒子群优化算法的辨识方法。在基本粒子群优化算法的基础上,引入了随时间线性递减权值的策略。仿真结果表明该辨识方法能够准确辨识出电机的多个参数,辨识速度快,稳定性好,精度较高,具有良好的实用性。
The parameters of Permanent Magnet Synchromous Motor (PMSM) is needed in the parameter adjustment of servo drives with high performance. Based on the standard particle swarm optimization algorithm, a multi-parameter identification method was proposed. Based on the basic particle swarm optimization, a theory of weight decreased with time was introduced. The simulation illustrated that this method could accurately identify the multiple parameters of the machine and has good stability, validity and efficiency.
出处
《微电机》
2015年第12期32-35,共4页
Micromotors
基金
中央高校基本科研业务费专项
江苏省普通高校研究生科研创新计划(SJLX_0062)
关键词
永磁同步电机
参数辨识
标准粒子群优化
线性权重
PMSM
parameter identification
standard particle swarm optimization
linear weight