APPLICATION OF ARTIFlClAL NEURAL NETWORKS FOR IDENTIFICATION OF A MICRO-ALTERNATOR SYSTEM

Document Type : Original Article

Authors

Electrical Engineering Dept., Faculty of Engineering, Minufiya University, Shebin El-Kom, Egypt

Abstract

The paper describes the application of artificial neural networks for identification
using experimental data of a computer controlled micro-alternator system.
Mathematical algorithms are described in detail and associated architectures of
analog artificial neural networks are presented. The accuracy of the identified
model is assessed by direct comparison between micro-alternator outputs and
neural network identified model outputs.