Title :
A comparative study on non-linear state estimators applied to sensorless AC drives: MRAS and Kalman filter
Author :
Akin, Bilal ; Orguner, Umut ; Ersak, Aydin ; Ehsani, Mehrdad
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
In this paper, two different nonlinear estimators applied to sensorless AC drives, Kalman filtering techniques (EKF and UKF) and model reference adaptive system (back emf and reactive power models), are discussed and compared to each other. Both of the observer types are studied and analyzed both experimentally and theoretically. In order to compare the observers precisely, the observers are tested under the identical conditions.
Keywords :
adaptive Kalman filters; induction motor drives; machine vector control; model reference adaptive control systems; observers; reactive power; EKF; Kalman filtering technique; back emf; field-oriented control; induction motor; model reference adaptive system; nonlinear state estimator; observer; reactive power model; sensorless AC drives; Adaptive filters; Adaptive systems; Drives; Filtering; Kalman filters; Observers; Power system modeling; Reactive power; State estimation; Testing;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1432129
