Implementation of intelligent control using a fuzzy microcontroller

Author

Urbieta, Romeo ; Moreles, A.S. ; de Luca, A.S.

Author_Institution

C.I.C. IPN, Res. Center for Comput., Mexico

Volume

1

fYear

1999

fDate

1999

Firstpage

563

Abstract

This article tries to describe briefly three important aspects: the design, simulation and implementation of intelligent control using a fuzzy microcontroller that contains internally in its hardware an inference machine. The design and the simulation of control determined an optimum inference machine of nine member functions and ten rules of the type if-then, using tuning methods, genetic algorithms and neural networks. The inference machine was programmed in a fuzzy microcontroller for its application. The controlled variable was the speed of a d.c. motor of 1/8 H.P., running at a range of 100 to 1725 r.p.m. and achieving a precision of five mils at a very low cost

Keywords

DC motors; angular velocity control; fuzzy control; genetic algorithms; inference mechanisms; intelligent control; machine control; microcontrollers; neurocontrollers; d.c. motor; fuzzy microcontroller; genetic algorithms; inference machine; intelligent control; member functions; neural networks; speed control; tuning methods; Application software; Computer errors; Control systems; Fuzzy control; Genetic algorithms; Hardware; Intelligent control; Microcontrollers; Velocity control; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. 42nd Midwest Symposium on

Conference_Location

Las Cruces, NM

Print_ISBN

0-7803-5491-5

Type

conf

DOI

10.1109/MWSCAS.1999.867329

Filename

867329