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基于递推最小二乘法的永磁同步电机参数辨识
Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares
【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.
【关键词】 永磁同步电机;
参数辨识;
最小二乘法;
【Key words】 permanent magnet synchronous motor; parameters identification; recursive least squares;
【Key words】 permanent magnet synchronous motor; parameters identification; recursive least squares;
- 【文献出处】 鱼雷技术 ,Torpedo Technology , 编辑部邮箱 ,2014年06期
- 【分类号】TM341
- 【被引频次】19
- 【下载频次】837