Title :
A sensorless initial rotor position estimation scheme and an Extended Kalman Filter observer for the direct torque controlled Permanent Magnet Synchronous Motor Drive
Author :
Qi Jilong ; Tian Yantao ; Gong Yimin ; Zhucheng
Author_Institution :
Sch. of Commun. Eng., Jilin Univ., Changchun
Abstract :
Extended Kalman filter observer for the direct torque controlled permanent magnet synchronous motor drive is talked about, the estimation schemes for PMSM rotor initial position and rotate speed are obtained. Direct torque control is studied. The PMSM rotor initial position is indispensable to sensorless PMSM direct torque control systems. High frequency voltage signal is injected into stator winding to calculate the PMSM rotor initial position with the high frequency current signal generated. The PMSM rotor initial position is applied in the sensorless PMSM direct torque control system based on EKF(extended Kalman filter observer) observer. The sensorless PMSM direct torque control system is realized in the Matlab environment. The simulation results indicate that the PMSM rotor initial position calculated from current signal is accurate, moreover, the rotor position and speed obtained from Extended Kalman filter observer track the actual rotor position and speed rapidly.
Keywords :
Kalman filters; machine control; permanent magnet motors; rotors; synchronous motor drives; torque control; Matlab environment; PMSM control; direct torque control; extended Kalman filter observer; permanent magnet synchronous motor drive; sensorless rotor position estimation scheme; stator winding; voltage signal injection; Communication system control; Control systems; Frequency estimation; Permanent magnet motors; Physics; Rotors; Sensorless control; Stators; Torque control; Voltage; Extended Kalman Filter observer; direct torque control; initial PMSM rotor position estimation; sensorless control;
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4