The application of neural networks to induction machine control
Data(s) |
1992
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Resumo |
Neural networks (NNs) are discussed in connection with their possible use in induction machine drives. The mathematical model of the NN as well as a commonly used learning algorithm is presented. Possible applications of NNs to induction machine control are discussed. A simulation of an NN successfully identifying the nonlinear multivariable model of an induction-machine stator transfer function is presented. Previously published applications are discussed, and some possible future applications are proposed. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE |
Relação |
http://eprints.qut.edu.au/37932/1/c37932.pdf DOI:10.1109/AFRCON.1996.563005 Wishart, M. T. & Harley, R. G. (1992) The application of neural networks to induction machine control. In AFRICON '92 Proceedings., 3rd AFRICON Conference, IEEE, Ezulwini Valley, Swaziland. |
Direitos |
Copyright 1992 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Palavras-Chave | #090603 Industrial Electronics #induction motors #induction machine control #learning algorithm #mathematical model #neural networks #nonlinear multivariable model #simulation #stator transfer function |
Tipo |
Conference Paper |