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Synthesis of Robust Speed Controller Based on Artificial Neural Network for Permanent Magnet Synchronous Motor
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| Author(s) |
Tomasz Pajchrowski, Krzysztof Zawirski |
| Abstract |
The paper deals with the problem of an artificial
neural network (ANN) application to robust speed control of
electrical servodrives. A robust speed controller is developed
using the ANN, which creates a nonlinear characteristic of
controller. A new method of neural controller synthesis is
presented. The synthesis procedure is performed in two stages.
The first stage consists in training the ANN and at the second
stage controller settings are adjusted. The use of the proposed
controller synthesis procedure ensures robust speed control
against the variations of moment of inertia and stator magnetic
flux. Simulations and laboratory results validate the robustness of
the servodrive with Permanent Magnet Synchronous Motor. |
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| Filename: | 041 |
| Filesize: | 150.3 KB |
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| Type |
Members Only |
| Date |
Last modified 2006-02-07 by System |
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