Identification and control of induction machines using artificial neural networks
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Conference Paper
(PDF 579kB)
Published Version. c37933.pdf. |
Description
The use of artificial neural networks (ANNs) to identify and control induction machines is proposed. 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. Both systems are inherently adaptive as well as self-commissioning. The current controller is a completely general nonlinear controller which can be used together with any drive algorithm. Various advantages of these control schemes over conventional schemes are cited, and the combined speed and current control scheme is compared with the standard vector control scheme
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| ID Code: | 37933 |
|---|---|
| Item Type: | Contribution to conference (Paper/Presentation) |
| Refereed: | No |
| Keywords: | adaptive control, artificial neural networks, current controller, electric current control, identification, induction motor control, induction motors, machine control, nonlinear control systems, nonlinear controller, rotor speed control, standard vector control scheme, stator currents control, velocity control |
| Pure ID: | 57223291 |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Engineering Systems |
| Copyright Owner: | Copyright 1993 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 01:20 |
| Last Modified: | 28 Mar 2024 20:09 |
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