Fuzzy logic controller design based on genetic algorithm for DC motor

Author

Liu, Chun-juan ; Li, Bian-xia ; Yang, Xiao-xu

Author_Institution

Photoelectric Meas. & Control Technol. Res. Dept., Xi´´an Inst. of Opt. & Precision Mech., Xi´´an, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

2662

Lastpage

2665

Abstract

This paper propose a genetic based fuzzy logic controller to regulate the speed of separately excited DC motor. The fuzzy membership function and rules are optimized based on genetic algorithm. The DC motor speed control system is modeled and simulated in MATLAB/SIMULINK. Simulation results show that the optimized fuzzy logic controller not only has no overshoot, minimum settling times and vibrations, but also demonstrate high performance for real-time control over a wide range of operating conditions.

Keywords

DC motors; control system synthesis; fuzzy control; genetic algorithms; machine control; optimal control; velocity control; MATLAB/SIMULINK; dc motor; fuzzy logic controller design; fuzzy membership function; genetic algorithm; genetic based fuzzy logic controller; optimized fuzzy logic controller; speed regulation; vibrations; Biological cells; DC motors; Fuzzy logic; Genetic algorithms; Mathematical model; Niobium; Velocity control; DC motor drive; Fuzzy logic controller; Genetic algorithm; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6067555

Filename

6067555