Design of PID controller, FCL-Sugeno for Fan and Plate System using PSO optimization algorithm
Keywords:
PID Controller, Sugeno Fuzzy Logic Controller, Fan and Plate SystemAbstract
In this paper, we present the design of PID controllers and fuzzy controllers (Fuzzy Logic Controller - FLC) according to the Sugeno model (FLC-Sugeno) optimal based on the Particle Swarm Optimization algorithm (PSO). The controlling object is the Fan and Plate System (F&P). This is a strong non-linearity object. PID controller is originally designed by Ziegler-Nichols experimental method. The FLC-Sugeno controller is a manual design with membership functions evenly distributed over a defined domain of variables. Next, optimization PSO is used to optimize KP, KI, KD coefficients of the PID controller and optimize the membership function of the FLC-Sugeno. Through simulation showed, the controller after optimizing for the quality of control increased significantly. In particular, the FLC-Sugeno controller produces better control results. Through research, the design of the FLC controller with the PSO optimization algorithm is an effective method.
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