Title :
Intelligent control system using PID and neural controllers
Author :
Cavalcanti, Jose Homero Feitosa
Author_Institution :
Univ. Federal da Paraiba, Brazil
Abstract :
This paper shows the design, implementation details and experimental results of an intelligent control system developed for adaptive control of a dynamic system represented by a d.c. motor. The system is based on PID and neural network and uses fuzzy rules to switch between the two controllers
Keywords :
DC motors; adaptive control; controllers; fuzzy control; intelligent control; machine control; neurocontrollers; three-term control; DC motor; PID controller; adaptive control; dynamic system; fuzzy rules; hybrid controller; intelligent control system; neural controller; Adaptive control; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Intelligent control; Laplace equations; Neural networks; Switches; Three-term control;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.504467
