Title :
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
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;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067555
