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基于改进粒子群算法的PMSM多参数辨识
引用本文:柯贤伟,张金亮,彭国生,高云,王志虎,简炜.基于改进粒子群算法的PMSM多参数辨识[J].湖北汽车工业学院学报,2021(1):60-64.
作者姓名:柯贤伟  张金亮  彭国生  高云  王志虎  简炜
作者单位:;1.湖北汽车工业学院电气与信息工程学院;2.东风汽车动力零部件有限公司
基金项目:湖北省中央引导地方科技发展专项(2018ZYYD007)。
摘    要:针对标准粒子群优化算法对永磁同步电机多参数辨识精度低与收敛慢的问题,设计了一种自适应自治群组粒子群优化算法进行辨识,并在Matlab/Simulink中搭建参数辨识模型。仿真结果表明:改进后的算法对永磁同步电机多参数辨识的整体精度更高,收敛速度更快。

关 键 词:永磁同步电机  参数辨识  标准粒子群优化算法

Multi-parameter Identification of PMSM Based on Particle Swarm Optimization
Ke Xianwei,Zhang Jinliang,Peng Guosheng,Gao Yun,Wang Zhihu,Jian Wei.Multi-parameter Identification of PMSM Based on Particle Swarm Optimization[J].Journal of Hubei Automotive Industries Institute,2021(1):60-64.
Authors:Ke Xianwei  Zhang Jinliang  Peng Guosheng  Gao Yun  Wang Zhihu  Jian Wei
Institution:(School of Electrical&Information Engineering,Hubei University of Automotive Technology,Shiyan 442002,China;Dongfeng Automobile Power Parts Co.Ltd,Shiyan 442000,China)
Abstract:Aiming at the problem of low accuracy and slow convergence of multi-parameter identification of permanent magnet synchronous motor by standard particle swarm optimization,an adaptive autonomous group particle swarm optimization was designed.The parameter identification model was built in Matlab/Simulink.The simulation results show that the improved algorithm has higher precision and faster convergence speed for multi-parameter identification of permanent magnet synchronous motor.
Keywords:permanent magnet synchronous motor  parameter identification  standard particle swarm optimization
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