基于珊瑚礁算法的永磁同步电机参数辨识

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (4): 927-933.

基于珊瑚礁算法的永磁同步电机参数辨识

全亚威¹, 田娜^1,2, 纪志成¹, 王艳¹

1.江南大学电气自动化研究所,江苏无锡 214122;
2.江南大学教育技术系,江苏无锡 214122

收稿日期:2015-08-09 修回日期:2015-10-14 出版日期:2016-04-08 发布日期:2020-07-02
作者简介:全亚威(1990-),男,江苏盐城,硕士,研究方向为控制理论与控制工程;田娜(1983-),女,河北石家庄,副教授,硕导,研究方向为进化算法,机器学习;纪志成(1959-),男,浙江杭州,教授,博导,研究方向为电力电子与电气传动。
基金资助:
国家863计划(2014AA041505);国家自然科学基金(61572238)

Coral Reefs Optimization for Solving Parameter Identification in Permanent Magnet Synchronous Motor

Quan Yawei¹, Tian Na^1,2, Ji Zhicheng¹, Wang Yan¹

1. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
2. Department of Educational Technology, Jiangnan University, Wuxi 214122, China

Received:2015-08-09 Revised:2015-10-14 Online:2016-04-08 Published:2020-07-02

摘要/Abstract

摘要： 永磁同步电机参数的高精度辨识是进行控制器设计的基础。针对传统的粒子群算法以及最小二乘法在辨识电机参数时速度慢,误差大,可辨识参数少的缺点,提出了将珊瑚礁算法应用于求解永磁同步电机多参数辨识的问题。在dq坐标系下建立永磁同步电机参数辨识模型,将珊瑚礁算法、粒子群算法、和最小二乘法应用于求解永磁同步电机参数辨识问题,并在Matlab/Simulink 中进行了对比验证。实验结果表明珊瑚礁算法能同时辨识定子电阻、轴电感、轴电感、转子磁链等电磁参数并且具有较好的收敛性能。

关键词: 珊瑚礁算法, 永磁同步电机, 参数辨识, 粒子群算法, 最小二乘法

Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. According to the drawbacks of slow speed, big error, and small number of parameters in classical particle swarm optimization (PSO) and least square method, Coral Reefs Optimization (CRO) was proposed to solve the parameter identification problem in PMSM. In order to improve the identification accuracy, the parameter setting in CRO was adjusted. The mathematical model of PMSM in coordinate system was established, CRO, PSO and RLS were applied to identify parameters in PMSM, and were verified in Matlab/Simulink for comparison. The simulation results indicate that CRO algorithm is able to improve the identification accuracy of stator resistance, d-axis inductance, q-axis inductance, rotor flux and guarantee the performance improvement in PMSM.

Key words: coral reefs optimization, permanent magnet synchronous motor, parameter identification, particle swarm optimization, least square method

中图分类号:

TP391.9

全亚威, 田娜, 纪志成, 王艳. 基于珊瑚礁算法的永磁同步电机参数辨识[J]. 系统仿真学报, 2016, 28(4): 927-933.

Quan Yawei, Tian Na, Ji Zhicheng, Wang Yan. Coral Reefs Optimization for Solving Parameter Identification in Permanent Magnet Synchronous Motor[J]. Journal of System Simulation, 2016, 28(4): 927-933.

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