Побудова адаптивного регулятора механотронного привода на основі нейромережі узагальнено-регресійного типу

Abstract

A hydraulic system circuit, which includes an adaptive regulator based on neural networks of the generalized regression type, is presented. Operation of regulators based on artificial neural networks of classical and generalized regression types is compared. Application of regulators, based on artificial neural network of the generalized regression type, is shown to provide reduction of regulation and overshoot times in the hydraulic system.