Noname

This article examines the synthesis of neuroregulators for control systems of electric drives. Steady operation ofneuroregulatos and aspects of their application in closed loops are also analyzed. Neuroregulators are adaptive at change of parameters of the electric motor. The information on change of parameters of the electric motor is compared to optimum desirable performances of standard model, worked out signals of tutoring for neuroregulators which ensure necessary optimum static and dynamic responses oj the electric drive.