A comparison of estimation techniques for sensorless vector controlled induction motor drives

Author

Armstrong, Gavin J. ; Atkinson, David J. ; Acarnle, Paul P.

Author_Institution

Dept. of Electr. & Electron. Eng., Newcastle upon Tyne Univ., UK

Volume

1

fYear

1997

fDate

26-29 May 1997

Firstpage

110

Abstract

A comparison of model reference adaptive system (MRAS) and extended Kalman filter (EKF) based speed and rotor flux estimation applied to an experimental vector controlled induction motor drive is undertaken. Steady-state and transient performance of each technique is analyzed and the effects of estimator parameter variation are studied. Experimental results from real-time implementations of both techniques on a purpose built vector controlled induction motor drive are presented and discussed, with reference to practical implementation issues

Keywords

Kalman filters; angular velocity control; induction motor drives; machine control; magnetic flux; magnetic variables control; model reference adaptive control systems; parameter estimation; estimation techniques; extended Kalman filter; model reference adaptive system; rotor flux estimation; sensorless vector controlled induction motor drives; speed estimation; steady-state performance; transient performance; Adaptive control; Adaptive systems; Induction motor drives; Parameter estimation; Performance analysis; Programmable control; Rotors; Sensorless control; Steady-state; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems, 1997. Proceedings., 1997 International Conference on

Print_ISBN

0-7803-3773-5

Type

conf

DOI

10.1109/PEDS.1997.618675

Filename

618675