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基于RLS的嵌入式永磁同步电机参数辨识技术 被引量:9

Parameter Estimation Technique for Vector Controlled Interior Permanent Magnet Synchronous Motor Drive Based on RLS
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摘要 电机参数变化影响电机控制性能,因而需要对电机参数进行在线辨识,基于嵌入式永磁同步电机在两相坐标系里的动态状态方程,通过检测电机的定子电压、电流和转子转速信号,利用递推最小二乘法算法对嵌入式永磁同步电机参数进行辨识,由于该方法所用的信号均可检测到,从而减少了其他干扰对电机参数辨识的影响,提高了参数辨识的准确性。仿真结果和实验验证了辨识方案的有效性。 The variation of the motor parameters has an effect on the performance of the motor, so that the on-line parameter identification is needed. In this article, a parameter identification of IPMSM drive is introduced. The method just uses the stator current, stator voltage, and rotor speed, makes real time identification of IPMSM parameters based on the Recursive Least Square algorithm. Since these signals can be measured, the method reduces the influence of other disturbance and increases the accuracy of identification. The performance of the proposed scheme is verified through simulation and experiment.
出处 《西安理工大学学报》 CAS 北大核心 2009年第3期309-313,共5页 Journal of Xi'an University of Technology
关键词 永磁同步电机 矢量控制 参数辨识 递推最小二乘法 IPMSM vector control parameter estimation recursive least square algorithm(RLS)
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参考文献8

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