Abstract
The paper deals with application of artificial neural networks in a speed control structure of A.C. drive with an induction motor. The sensorless control structure of the A.C. drive contains a radial basis function neural network for speed estimation. This speed estimator was compared with the speed estimator using multilayer feedforward artificial neural network. The sensorless A.C. drive was simulated in program Matlab with Simulink toolbox. The main goal was to find suitable structures of artificial neural networks with required number of neuron units which will provide good control characteristics. It was realized important simulations which confirm the rightness of proposed structures and good behavior of developed speed estimators.
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Brandstetter, P., Kuchar, M., Friedrich, J. (2014). Application of RBF Neural Network in Sensorless Control of A.C. Drive with Induction Motor. In: de la Puerta, J., et al. International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Advances in Intelligent Systems and Computing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-07995-0_22
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DOI: https://doi.org/10.1007/978-3-319-07995-0_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07994-3
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