DocumentCode :
1875289
Title :
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
Link To Document :
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