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基于递推最小二乘法的永磁同步电机参数辨识
引用本文:钱鑫,王崇武,于琨琨,姜致远. 基于递推最小二乘法的永磁同步电机参数辨识[J]. 鱼雷技术, 2014, 0(6): 452-456
作者姓名:钱鑫  王崇武  于琨琨  姜致远
作者单位:西北工业大学航海学院,陕西西安710072
摘    要:针对永磁同步电机在运行中电磁参数的改变,通过对永磁同步电机稳态数学模型的推导,利用递推最小二乘法对电机的电阻、电感进行在线辨识。在Matlab/simulink中搭建辨识模型进行分析比较,验证该方法可以准确辨识出电阻、电感的值。仿真结果表明,递推最小二乘法简单可靠、易于实现,具有很高的准确性,能够很好地跟随电机参数的变化,具有一定的实用价值。

关 键 词:永磁同步电机  参数辨识  最小二乘法

Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares
QIAN Xin,WANG Chong-wu,YU Kun-kun,JIANG Zhi-yuan. Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares[J]. Torpedo Technology, 2014, 0(6): 452-456
Authors:QIAN Xin  WANG Chong-wu  YU Kun-kun  JIANG Zhi-yuan
Affiliation:(School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China)
Abstract:For the change of the Electromagnetic parameters of a permanent magnet synchronous motor in running, a steady-state model of permanent magnet synchronous motor is deduced to identify the resistance and inductance of the motor online by means of recursive least squares(RLS). Simulation via Matlab/Simulink demonstrates that the proposed parameters identification method is accurate, reliable and easy to implement, and RLS can track the electromagnetic parameters accurately.
Keywords:permanent magnet synchronous motor  parameters identification  recursive least squares
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