Radial Basis Function Neural Network Speed Controller for Separately Excited DC Motor

M.S.B. Shah Rizam and A.H. Razali (Malaysia)

Keywords

RBFNN, Separatelyexcited DC motor, Openloop system, Closedloop system

Abstract

This paper presents a Radial Basis Function Neural Network (RBFNN) approach to design a separately excited DC motor speed controller, which behaves similar to PI controller. The RBFNN is set up by writing a program to create a `black box'. Based on the operation and the concept of the speed control for DC motor, a schematic diagram for open loop and close-loop circuit is. A closed-loop system is used for testing. From the results obtained it shows that RBFNN is an alternative controller to replace the PI controller.

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