In this paper, we present the design and simulation of a new fuzzy logic supervisory control approach that is designed to improve the performance of a PID controlled magnetic levitation system, such systems are inherently unstable and require means of control to stabilize their operation; the fuzzy logic controller continuously monitors system variables (error signal, and its derivative) and modifies the parameters of the PID controller to better introduce better system response. Using magnetic levitation eliminates metal friction, and the problems associated with heat dissipation and enables higher speeds, which, in industrial systems, can increase the production rate. The controller is kept as simple as possible so that it can be easily implemented on a low-cost microcontroller chip in the future. A Simulink® model of the magnetic levitation system with the controller is used to simulate and examine the system performance. A noticeable improvement in the performance has been recorded with the integrated controller over the PID alone.
Fuzzy supervisory control, Magnetic Levitation, Fuzzy Control, PID Control, Fuzzy Tuning.
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