Identification and control of induction machines using artificial neural networks
Wishart, Michael T. & Harley, Ronald G. (1995) Identification and control of induction machines using artificial neural networks. IEEE Transactions on Industry Applications, 31(3), pp. 612-619.
This paper proposes the use of artificial neural networks (ANNs) to identify and control an induction machine. Two systems are presented: a system to adaptively control the stator currents via identification of the electrical dynamics; and a system to adaptively control the rotor speed via identification of the mechanical and current-fed system dynamics. Various advantages of these control schemes over other conventional schemes are cited and the performance of the combined speed and current control scheme is compared with that of the standard vector control scheme
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|Item Type:||Journal Article|
|Keywords:||adaptive control, asynchronous machines, control system analysis, control system synthesis, electric current control, machine control, machine theory, neurocontrollers, parameter estimation, rotors, velocity control, artificial neural networks, dynamics identification, induction machines, performance, rotor speed, stator currents, vector control scheme|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Industrial Electronics (090603)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 1995 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:||13 Oct 2010 21:58|
|Last Modified:||10 Aug 2011 14:31|
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