Diseño y simulación del Sistema de Control de la Excetatriz de una máquina síncrona mediante un algoritmo de inteligencia artificial

Abstract

This work addresses the design and implementation of algorithms based on artificial intelligence for the control of the exciter of a synchronous machine based on the DC1A and DC2A direct current excitation models of the IEEE 421.5 standard of 2005 and 2016. Two models based on fuzzy control and two other models based on machine learning are proposed in order to compare the models and identify which is the model that has the best performance with respect to the three evaluation tests carried out on the dynamic change of loads, the change of the reference voltage and the peak phase voltage when handling nominal voltage. In general, a better performance was observed in the models based on fuzzy control with respect to the models based on machine learning.