Industrial Automatic Control Systems and Controllers Annotation << Back Working out and Training Neyroregulators for Multiplanimetric Systems Electric Drive with the Subordinated Regulation V.M. Bujankin In article designing and training of regulators for multiplanimetric systems of electric drives with the subordinated regulation which are designed on the basis of neural networks is considered. Neural networks are directly trained nonlinear static and to dynamic characteristics, providing demanded accuracy and quality of work of various technical objects, in particular electric drives. On the basis of designed neyroregulators the system of artificial intelligence is developed for improvement static and dynamic characteristics of work of the electric drive with podchinenno-neural management. Keywords: neural network, static and dynamic parametres electric drive. DOI: 10.25791/asu.2.2023.1414 Pp. 15-22.