Tuning of Fuzzy Logic Controller for a DC Motor Based on Particle Swarm Optimization [ READ ]
Hanan A.R. Akkar, Ahlam Najim A-Amir, Mohammed S. Saleh
This paper presents an active method to determine the parameters of the membership functions of a F.L. Controller. To provide an optimum performance of the system, the parameters of the membership functions of a fuzzy logic system can be tuned through particle swarm optimization (PSO), so the shape of these functions will vary according to the variables, then the fuzzy control output changes and the performance of the system will be changed.
Hanan A.R. Akkar, Ahlam Najim A-Amir, Mohammed S. Saleh
This paper presents an active method to determine the parameters of the membership functions of a F.L. Controller. To provide an optimum performance of the system, the parameters of the membership functions of a fuzzy logic system can be tuned through particle swarm optimization (PSO), so the shape of these functions will vary according to the variables, then the fuzzy control output changes and the performance of the system will be changed.
