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The application of neural networks to induction machine control

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.

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    Abstract

    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.

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    ID Code: 37932
    Item Type: Conference Paper
    Keywords: induction motors, induction machine control, learning algorithm, mathematical model, neural networks, nonlinear multivariable model, simulation, stator transfer function
    DOI: 10.1109/AFRCON.1996.563005
    ISBN: 0780308352
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Industrial Electronics (090603)
    Copyright Owner: Copyright 1992 IEEE
    Copyright Statement: 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.
    Deposited On: 14 Oct 2010 10:26
    Last Modified: 11 Aug 2011 00:31

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