Aiming at the problem that the position sensor and current sensor may be disturbed by noise and the error of the sensor feedback measurement value caused by the fault of the sensor itself leads to the performance degradation of the motor drive system, this paper constructs a full-order state observer based on the extended Kalman filter (EKF) algorithm, and proposes a current harmonic suppression algorithm for the motor drive system. The position and current signals obtained by the state observer are fused with the actual position and current signals measured by the sensor to minimize the motor current and position signal errors. The simulation results show that the proposed method is superior to the traditional method, which can effectively improve the current waveform and reduce the total harmonic distortion (THD) of the motor phase current.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Harmonic Suppression Method of Motor Drive System Based on Full-Order Extended Kalman Filter

  • Nianzhong Zhang,
  • Qiang Song

摘要

Aiming at the problem that the position sensor and current sensor may be disturbed by noise and the error of the sensor feedback measurement value caused by the fault of the sensor itself leads to the performance degradation of the motor drive system, this paper constructs a full-order state observer based on the extended Kalman filter (EKF) algorithm, and proposes a current harmonic suppression algorithm for the motor drive system. The position and current signals obtained by the state observer are fused with the actual position and current signals measured by the sensor to minimize the motor current and position signal errors. The simulation results show that the proposed method is superior to the traditional method, which can effectively improve the current waveform and reduce the total harmonic distortion (THD) of the motor phase current.