Fuzzy logic control of a magnetic levitation system with hardware implementation

The purpose of this research work was the investigation into the design of a fuzzy logic controller for an inherently unstable mechatronic device, a magnetic levitation (MagLev) device. The MagLev, which is nonlinear, open-loop unstable with time-varying dynamics, was the test bed for the controller design. Adaptive Neuro Fuzzy Inference System (ANFIS) was used to construct and tune a fuzzy logic controller that was placed in the feedforward path of the block diagram of the system. It is shown that the steady state error of the system is reduced when the fuzzy logic controller augments the traditional lead-lag compensator control effort.