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

fYear

2006

fDate

6-10 Nov. 2006

Firstpage

799

Lastpage

804

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;

fLanguage

English

Publisher

ieee

Conference_Titel

IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on

Conference_Location

Paris

ISSN

1553-572X

Print_ISBN

1-4244-0390-1

Type

conf

DOI

10.1109/IECON.2006.347841

Filename

4153534