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Implementation of RBF Neural Network in Vector Control Structure of Induction Motor

Pavel Brandstetter(1*), Martin Kuchar(2), Ondrej Skuta(3)

(1) VSB - Technical University of Ostrava, Czech Republic
(2) VSB - Technical University of Ostrava, Czech Republic
(3) VSB - Technical University of Ostrava, Czech Republic
(*) Corresponding author


DOI: https://doi.org/10.15866/iree.v9i4.2922

Abstract


The paper introduces a possible application of artificial neural networks in the control of electrical drives. For this purpose, a rotor time constant adaptation method in a vector control structure of an induction motor is chosen. The estimation of the rotor time constant is performed by a model reference adaptive system. For an adaptation algorithm, the radial basis function neural network was used. There is listed necessary mathematical description of the rotor time constant adaptation which is implemented into the vector control structure of the AC drive with the induction motor. Properties of designed algorithms with the radial basis function neural network were verified on a laboratory stand with induction motor drive. Experimental results obtained by measurements are presented and discussed.
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Keywords


Induction Motor; Radial Basis Function Network; Variable Speed Drive; Vector Control

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References


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