AN EXPERIMENT BASED ON FUZZY LOGIC CONTROL FOR AN ACTIVE MAGNETIC BEARING SYSTEM

Nguyen Van Sum

DOI: http://dx.doi.org/10.26459/hueuni-jns.v126i1B.4101

Abstract


This study presents an intelligent control method for positioning nonlinear an active magnetic bearing (AMB) system by using emergent fuzzy logic controller (FLC). In this work, an AMB system supports a rotating shaft, without physical contact are presented. By using rotor dynamic model of AMB system and electromagnetic forces of magnetic bearing to design a FLC for an AMB system. A closed-loop decentralized FLC for an AMB system was designed in this study. 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) is 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. The proposed controller can be feasibly applied to AMB systems exposed to various external disturbances.