Model of thyristor DC drive on recurrent neural networks.
Abstract
A model of a thyristor electric drive of direct current was obtained in the form of a circuit consisting of three recurrent neural seiii (RNS). The RNS teaching algorithm was corrected to represent a first-order object taking into account preliminary knowledge of the object. The results were verified by mathematical modeling.
