A novel DC drive based on fuzzy logic inverse plant model optimised by ANFIS

Author

Ponce, Pedro ; Blancas, Rodrigo ; Tena, Cristian ; Rana, M.M.

Author_Institution

Deptartamento de Ingenieria Electrica y Electronica, Instituto Technologico y de Estudios Superiores de Monterrey, Mexico

Volume

2

fYear

2004

Firstpage

1127

Abstract

In this work a direct current (DC) drive based on the fuzzy logic (Sugeno type) inverse plant model optimised by adaptive neuro-fuzzy inference system (ANFIS) is presented. A control system simulation formed by the fuzzy logic plant model and the fuzzy logic inverse plant model was generated. Programming the inverse plant model into a microcontroller and substituting the plant model by the real DC motor, an open-loop speed control prototype was tested and the simulation and experimental results are included to validate the theory presented in this paper.

Keywords

DC motor drives; adaptive control; angular velocity control; fuzzy control; inference mechanisms; machine control; microcontrollers; neurocontrollers; open loop systems; ANFIS; DC drive; DC motor; Sugeno type; adaptive neuro-fuzzy inference system; control system simulation; fuzzy logic inverse plant model; microcontroller; open-loop speed control; Adaptive systems; Control system synthesis; DC motors; Fuzzy logic; Inverse problems; Microcontrollers; Open loop systems; Testing; Velocity control; Virtual prototyping;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on

Print_ISBN

0-7803-8662-0

Type

conf

DOI

10.1109/ICIT.2004.1490236

Filename

1490236