A Permanent Magnet Synchronous Motor Control Method Based on the Extended Kalman Filter

Aiming at the problem of inaccurate position estimation of permanent magnet synchronous motor, an extended Kalman filter algorithm based on vector control technology is proposed to realize the error-free estimation of the position and speed of permanent magnet motor. The filter algorithm has good dynamic response capabilities and accuracy, and ultimately achieves high precision control. This paper first gives the overall system design block diagram, analyzes the mathematical model of the motor, and then combines the EKF algorithm and vector control to realize sensorless control. Finally, combined with simulation analysis, the results show that the EKF algorithm has good dynamic response and load disturbance resistance, and achieves high-precision control.