Research on PMSM sensorless control based on EKF

The control of permanent magnet synchronous motor based on position sensor not only increases the design cost, but also reduces the system reliability. The principle of Extended Kalman filter, EKF) is analyzed and studied. The EKF optimization algorithm is applied to the control of permanent magnet synchronous motor, and the rotor speed and rotor position of permanent magnet synchronous motor are predicted and estimated. Finally, based on the matlab simulation platform, the extended Kalman filter (EKF) simulation model is constructed. The simulation results show that the rotor position and rotor speed of PMSM can be accurately predicted and estimated, and the simulation model based on extended Kalman filter (EKF) algorithm is effective, which provides a solid theoretical foundation for the research of PMSM control system.