Title :
Comparison of two nonlinear speed observers for induction motors
Author :
Gallegos, M.A. ; Alvarez, R. ; Nunez, C.A. ; Perez-Pinal, F.
Author_Institution :
Fac. de Ingenieria, Univ. Autonoma de San Luis Potosi
Abstract :
In this paper, the performances of two rotor flux and speed estimation methods used in speed sensorless vector controllers of induction motors are compared. Both Kalman filter (KF) and model reference adaptive system (MRAS) are the estimation methods discussed and compared at the same conditions. The comparative study is done by means of stability, sensitivity to parameter variation and behavior in the low speed region taking into account the drawbacks inherent to this operating condition. Computer simulations and experimental tests have been carried out in identical conditions in order to realize a reliable comparison
Keywords :
Kalman filters; angular velocity control; induction motors; model reference adaptive control systems; observers; Kalman filter; induction motors; model reference adaptive system; nonlinear speed observers; rotor flux; speed estimation methods; speed sensorless vector controllers; Adaptive systems; Current measurement; Induction motors; Noise robustness; Observers; Rotors; Sensorless control; Stability; State estimation; Velocity measurement;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347841
