EKF-Based Sensorless Vector Control System of Permanent Magnet Synchronous Motor

Abstract

As the incomparable advantages, permanent magnetic synchronous motor (PMSM) has been used widely in servo system, numerical control machine. The paper introduces an EKF (extended Kalman filter)-based sensorless vector control system of permanent magnet synchronous motor. The rotorfield-oriented control strategy based on id=0 is selected. After expounding the principle of EKF and recursion algorithm, it derives the Kalman state equation in PMSM rest coordinate, makes a discretization processing, and constructs vector control system based on EKF estimator. The simulation model of vector control system of PMSM with MATLAB/Simulink is built and on this basis, it observes the position and speed of the motor rotor by the use of the EKF estimator. Simulation results demonstrate the EKF estimator can accurate estimates of the PMSM rotor position and speed.