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Estimation of Induction Motor Variables Based on Artificial Neural Networks
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| Author(s) |
J. Zilkova; J. Timko; V. Fedak; M. Borbel |
| Abstract |
The paper deals with utilisation of artificial neural networks (ANN) for observing the asynchronous motor variables. The observing is realised utilising several quasi-single estimators and their number is equal to number of observed variables. The observers are based on off-line learning feed-forward ANN and on cascade-forward backpropagation ANN, respectively. Rotor flux, torque and angular speed of an induction motor are estimated. Changes in the rotor resistor do not influence the quality of observing. |
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| Filename: | EPE-PEMC2002 - T9-065 - Zilkova.pdf |
| Filesize: | 186.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-05-25 by System |
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