DocumentCode
2617155
Title
Induction motor speed estimation using artificial neural networks
Author
Mehrotra, Prashant ; Quaicoe, John E. ; Venkatesan, R.
Author_Institution
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Volume
2
fYear
1996
fDate
26-29 May 1996
Firstpage
607
Abstract
This paper derives two functional relationships between the stator quantities and speed from the induction motor dynamic equations. As singularities are present in these relationships, direct estimation of speed using artificial neural networks (ANNs) with these stator inputs is not possible. The paper proposes a scheme which employs two ANNs for this purpose. The outputs of the two ANNs are further processed to obtain the induction motor speed. The speed recovery scheme does not depend upon any particular control strategy
Keywords
electric machine analysis computing; induction motor drives; machine theory; neural nets; parameter estimation; stators; artificial neural networks; dynamic equations; induction motor drives; speed estimation; speed recovery scheme; stator; Artificial neural networks; Backpropagation algorithms; DC motors; Equations; Induction motor drives; Induction motors; Machine vector control; Motor drives; Neural networks; Stators;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location
Calgary, Alta.
ISSN
0840-7789
Print_ISBN
0-7803-3143-5
Type
conf
DOI
10.1109/CCECE.1996.548226
Filename
548226
Link To Document