Genetically Enhanced Intelligent Speed Control for Induction Machines Using Direct Torque Control

Author

Figueroa, Fernando David Ramirez ; Caeiros, Alfredo Victor Mantilla

Author_Institution

ITESM, Mexico City, Mexico

fYear

2011

fDate

15-18 Nov. 2011

Firstpage

35

Lastpage

40

Abstract

This paper presents a novel fuzzy controller that controls speed on induction machines using direct torque control. DTC is used to facilitate the control of the induction machine. Speed control is based in non-interactive PID control theory and Mamdani fuzzy systems. Genetic algorithm techniques are used for offline optimizations of the normalization factors (they dictate what portion of the decision table is used) and limits of membership functions. Simulations are presented, results and conclusions are discussed.

Keywords

asynchronous machines; fuzzy control; fuzzy systems; genetic algorithms; intelligent control; machine vector control; three-term control; torque control; velocity control; DTC; Mamdani fuzzy system; decision table; direct torque control; fuzzy controller; genetic algorithm technique; genetically enhanced intelligent speed control; induction machines; noninteractive PID control theory; normalization factor; offline optimization; Genetic algorithms; Induction machines; Optimization; Rotors; Stator windings; Torque; Control Systems; DTC; Fuzzy Logic; Genetic Algorithms; Induction Machine; Intelligent Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011 IEEE

Conference_Location

Cuernavaca, Morelos

Print_ISBN

978-1-4577-1879-3

Type

conf

DOI

10.1109/CERMA.2011.13

Filename

6125799