Title :
Globally Converging Observers for SPMSM Sensorless Control
Author :
Fadel, Maurice ; Zedong Zheng ; Li, Yongdong
Author_Institution :
LAPLACE CNRS- INPT-ENSEEIHT-UPS, Toulouse
Abstract :
This paper proposes a kind of globally converging observer for sensorless control of surface mount permanent magnet synchronous motors (SPMSM). The observers are based on rotor flux-oriented synchronous coordinates, and can converge to the real rotor position from any unknown initial positions. The observers can be performed by extended Kalman filter (EKF), state observer or model reference adaptive system (MRAS). By some compensation in q-axe equation, the unexpected equilibrium points can be eliminated and then observers can converge to the unique expected equilibrium point. Then the motors can start up from any unknown initial positions. Simulation and experimentation results have verified the effects of the method.
Keywords :
Kalman filters; adaptive systems; permanent magnet motors; surface mount technology; synchronous motors; EKF; MRAS; SPMSM; extended Kalman filter; model reference adaptive system; sensorless control; surface mount permanent magnet synchronous motors; Adaptive systems; Equations; Permanent magnet motors; Power system modeling; Rotors; Sensorless control; Stators; Synchronous motors; Torque; Voltage; extended Kalman filter; initial position; model reference adaptive system; state observer; surface mount permanent magnet synchronous motor;
Conference_Titel :
Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Conference_Location :
Taipei
Print_ISBN :
1-4244-0783-4
DOI :
10.1109/IECON.2007.4460157