Fuzzy Gain Scheduling for Magnetic Levitation Control
نویسندگان
چکیده
Magnetic levitation conveyor systems have many advantages compared with the general conveyor systems. Because of the non-contact structure, magnetic levitation systems offer frictionless, low noise, and the ability to operate in highly clean environment. In this environment, materials are sensitive to change location. When materials move to the desired position, the controller is required to be stable. The conventional PID of state feedback controller for magnetic levitation has poor performance when changes of loading occur. Using fuzzy gain scheduling of the magnetic levitation controller handles this shortcoming. Fuzzy rules and reasoning are utilizing the error signal and its first difference. Fuzzy logics are designed with MATLAB/Simulink. Simulations results demonstrate that better control performance can be achieved in comparison with conventional PID controllers. And through the experimental tests, considerable improvement in the performance is achieved by the designed controller compared with the conventional PID and fuzzy PID controllers.
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