Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares
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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。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.
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