Abstract:
This paper presents data-driven control system of DC shunt motor by usingsystemidentification process and NARX model. In this paper we use component base modelingsimilar to real DC shunt motor by using simscape electronic systems for obtaining theinput
voltage and output speed of DC motor, the system identification toolbox and the nonlinearautoregressive with exogenous input (NARX) neural network for identification and obtainingthe model of an object. The object model and training the neural network for data drivencontrol system are developed by using MATLAB/SIMULINK platform. So, simulationresults of this paper present the advantage of the suggested control method and the acceptableaccuracy with respect to dynamic characteristics of the system. Also here we present
advantage of one data driven control system over the other as well.
Description:
Supervised by
Mr. MD. Thesun Al-Amin,
Assistant Professor,
Department of Electrical and Electronic Engineering(EEE),
Islamic University of Technology (IUT), Board Bazar, Gazipur-1704.