Neurocontroller for Induction Motor
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Abstract
The paper is focused especially on presenting possibilities of applying artificial neural networks (ANN) at creating the system inverse models that are expected to be of use at designing control algorithm for non-linear dynamic systems. The paper deals with a quasi-inverse model which is intended to work as a controller of a non-linear dynamic system simulating an induction motor. The presented method of control takes advantage of approximating properties of multi-layer perceptron (MLP) networks. Obtained simulation results are a contribution to theoretical discussion of the problem.
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Power System Control, Liberalisation of Electricity Market
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