A Novel Algorithm Based on EKF to Estimate Rotor Position and Speed for Sensorless PMSM Drivers

An algorithm based on extended Kalman filter applied to the sensorless PMSM drives to estimate rotor position and speed are described in this paper. The EKF is an optimal recursive estimation algorithm for estimating the states of dynamic nonlinear systems. The system simulation model is established in MATLAB/Simulink. And the sensorless PMSM drive system is implemented on the DSP employed field oriented control (FOC) method. The performance of the system is studied by means of simulation and experiment. The tests prove the effectiveness of the study.