Identification and control of induction machines using artificial neural networks
| Data(s) |
1995
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|---|---|
| Resumo |
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 |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE |
| Relação |
http://eprints.qut.edu.au/37934/1/c37934.pdf DOI:10.1109/28.382123 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. |
| Direitos |
Copyright 1995 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. |
| Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
| Palavras-Chave | #090603 Industrial Electronics #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 |
| Tipo |
Journal Article |
