Induction machine estimator for vector control applications using neural networks

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Univ. Simón Bolívar, SIEP Group, Valle de Sartenejas, Caracas, Venezuela [1 ]
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IEEE Power Eng. Rev. | / 8卷 / 50-51期
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A neural network induction machine model, including its dynamic behavior, has been developed. The model is intended to be used in vector control drives and is linearly dependent on the machine parameters. For this reason, the model parameters can be adapted in real time without retraining.
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