IEEE Workshop on Wide Bandgap Power Devices and Applications in Asia (WiPDA Asia 2018)

365 / 2018-02-05 16:14:38

Rotor Position Estimation of Sensorless PMSM Based on Extented Kalman Filter

permanent magnet synchronous motor(PMSM); extented Kalman filter(EKF); sensorless; position estimation

Plenary track > Applications in renewable energy and storage, transportation, industrial drives, and grid power

Taking permanent magnet synchronous motor as the research object, a rotor position estimation algorithm based on extended Kalman filter algorithm is proposed, which can realize the space vector control of sensorless permanent magnet synchronous motor. Simulation results show that the algorithm proposed in this paper can estimate rotor position and speed in real time and high accuracy. This algorithm is used for space vector control with wide speed range and stable operation of motor control system.