Particle Swarm Optimization for designing an optimal fuzzy logic controller of a DC motor

The speed of the DC motor can be adjusted to a great extent so as to provide easy control and high performance. There are several conventional and numeric types of controllers intended for controlling the DC motor speed and executing various tasks: PID Controller, Fuzzy Logic Controller; or the combination between them: Fuzzy-Swarm, Fuzzy-Neural Networks, Fuzzy-Genetic Algorithm, Fuzzy-Ants Colony. We describe in this paper the use of Particle Swarm Optimization (PSO) for designing an optimal fuzzy logic controller of a DC Motor. In this case, our approach will optimize the membership functions of a fuzzy logic controller (FLC) using PSO and the obtained results were simulated on Simulink of Matlab.