DocumentCode
3461053
Title
Speed estimation of induction motor 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
5-10 Aug 1996
Firstpage
881
Abstract
This paper proposes two techniques for speed estimation of induction motors using artificial neural networks. The techniques are based on speed expressions obtained from the induction motor dynamic equations. Two of the equations obtained have singularities, and hence direct speed estimation from these is not possible. The paper proposes a scheme using two ANNs to recover the speed from these two equations. However, it is possible to combine these two equations in a way that removes the singularities. Another method, based on this equation, is presented for obtaining the speed directly from the output of an ANN. These methods are general and easily implementable using commercially available ANN devices
Keywords
electric machine analysis computing; induction motors; machine control; neural nets; parameter estimation; velocity control; artificial neural networks; induction motor; induction motor dynamic equations; singularities; speed control; speed estimation; Artificial neural networks; DC motors; Induction motor drives; Induction motors; Machine vector control; Motor drives; Nonlinear equations; Rotors; Torque control; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location
Taipei
Print_ISBN
0-7803-2775-6
Type
conf
DOI
10.1109/IECON.1996.565994
Filename
565994
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