Fuzzy logic controller design based on genetic algorithm for DC motor
Chunjuan Liu, Bian-xia Li, Xiaoxu Yang · 2011
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.