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Neuro-Adaptive Controllers for Electrical Drives Applications
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| Author(s) |
J. Kabzinski |
| Abstract |
The main idea proposed in this paper is to combine neural modelling with adaptive control approach.
The plant nonlineariety is modelled by an artificial intelligence system (ANN or a fuzzy model) and
some of this system parameters are on-line adjusted by an adaptive law. System stability is
investigated. Important applications of neuro-adaptive controllers are reported: torque compensation
problem, speed and flux regulation of a current fed induction motor drive and speed regulation of
brushless permanent magnet motor drive. |
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| Filename: | EPE1999 - PP00112 - Kabzinski.pdf |
| Filesize: | 139.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-03-23 by System |
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