Title :
Review of position estimation methods for IPMSM drives without a position sensor part II: Adaptive methods
Author :
Benjak, O. ; Gerling, D.
Abstract :
This paper presents a review in state of the art techniques for position sensorless permanent magnet synchronous motor drives. In particular adaptive methods like estimators based on Model Reference Adaptive Systems, Observer Estimators like Luenberger observer, Reduced Order Observer, Sliding Mode Observer and Kalman filter are presented.
Keywords :
Kalman filters; model reference adaptive control systems; observers; permanent magnet motors; synchronous motor drives; variable structure systems; IPMSM drives; Kalman filter; Luenberger observer; model reference adaptive system; observer estimators; permanent magnet synchronous motor; reduced order observer; sensorless position estimation method; sliding mode observer; Adaptation model; Equations; Kalman filters; Mathematical model; Observers; Rotors; EKF; Kalman Filter; Luenberger observer; MRAS; Model Reference Adaptive System; Reduced Order Observer; SMO; Sliding Mode Observer; permanent magnet (PM) machines; position estimation; review; sensorless drives;
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
DOI :
10.1109/ICELMACH.2010.5607980
