Title :
Sensorless IPMSM drive with EKF estimation of speed and rotor position
Author :
Kosaka, Manabu ; Uda, Hiroshi
Author_Institution :
Dept. of Mech. Eng., Kinki Univ., Osaka, Japan
Abstract :
In this paper, a new sensorless interior permanent magnet synchronous motor (IPMSM) drive method with extended Kalman filtering (EKF) estimation of speed and rotor position is proposed. This method is on the basis of the sensorless surface permanent magnet synchronous motor (SPMSM) drive [Bolognani et al., 1999] that can be applied to motors with no salient pole and is developed so as to be able to be applied to motors with salient pole such as IPMSM. The feature of the method is that rotor position estimation error does not occur even if motor current or motor voltage change. Therefore, the method can be applied with arbitrary motor voltage waveform and, consequently, the method is suitable for sensorless IPMSM drive. Numerical simulations are illustrated to verify the effect of the method.
Keywords :
Kalman filters; electric vehicles; filtering theory; machine control; permanent magnet motors; reluctance motor drives; arbitrary motor voltage waveform; electric vehicles; extended Kalman filtering; interior permanent magnet motor; motor control; rotor position estimation; sensorless drives; speed estimation; surface permanent magnet motor; synchronous motor drive; Artificial intelligence; Filtering; Kalman filters; Magnetic separation; Numerical simulation; Permanent magnet motors; Reluctance motors; Rotors; Synchronous motors; Voltage;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1271951