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Neural Network Estimation of the Rotor Speed for Direct Field Oriented Control
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| Author(s) |
Žalman M., Jovankoviè J., Bélai I. |
| Abstract |
In the article there are described artificial neural networks (ANN) as a rotor speed estimator in the direct field oriented control structure. The two structures of the neural network estimators are qualitative compared with the based MRAS (rotor flux based MRAS) structure of the rotor speed estimation. The first structure is based on the on-line learning principle using back propagation algorithm with gradient descent learning method. The second structure is based on the off-line learning principle using back propagation algorithm with Levenberg-Marquardt learning method. The simulation using MATLAB with Simulink realizes the application results. The structures are verified and tested in term of controlling, loading and the sensitivity on parametric variation of the stator resistance. |
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| Filename: | EPE-PEMC2000 - 129 - Zalman.pdf |
| Filesize: | 437.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-04-28 by System |
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