Синтез нейросетевого регулятора NARMA-L2 CONTROLLER для системы наведения и стабилизации

Abstract

A neuro-controller synthesis is performed on the basis of an autoregressive moving average model to solve a control problem for a light-armored vehicle armament guidance and stabilization system. An algorithm of NARMA-L2 controller synthesis for a given control object is described. NARMA-L2 controller parameters that significantly affect the control quality are ascertained; the parameters values that provide the system’s preset performance quality ratings are specified. Computer simulation of the system is made.