An Experiment for Nonlinear an Active Magnetic Bearing System Using Fuzzy Logic Controller

This study presents an intelligent control method for positioning a nonlinear active magnetic bearing (AMB) system by using emergent fuzzy logic controller (FLC). In this work, an AMB system supporting a rotating shaft, without physical contact is presented. By using rotor dynamic model of AMB system and electromagnetic forces of magnetic bearing to design a FLC for an AMB system. The control algorithm was numerically evaluated to construct a multiple-input multiple-output mathematical model of the controlled system. The membership functions and rule design of FLC were based on the mathematical model of an AMB system. A current amplifier and hardware-in-loop (HIL) are used for electromagnetic coil to generate magnetic forces suspended the rotor in magnetic bearing. The results indicated that the system exhibited satisfactory control performance with a low overshooting and produced improved transient and steady-state responses under various operating conditions.