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

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


RBFNN, Separately-excited DC motor, Open-loop system, Closed-loop system


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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