An Experimental Analysis of an Active Magnetic Bearing System Using PIDType Fuzzy Controllers with Parameter Adaptive

Abstract:- This paper deals with the experimental control of a rotating active magnetic bearing (AMB) system using PID-type fuzzy controllers (PIDFCs) with parameter adaptive methods. There are three kinds of parameter adaptive methods, including fuzzy tuner, function tuner, and relative rate observer, have been proposed in literatures for tuning the coefficients of PIDFCs. However, only a simulation comparison between these methods for control of a second-order linear system with varying parameters and time delay has been done in literatures. In general, theoretical models need to be confirmed and modified through experimental results. This paper provides experimental verification by applying PIDFCs with self-tuning algorithms for control of a highly nonlinear AMB system. Key-Words:- PID-type fuzzy controllers, parameter adaptive methods, self-tuning scaling factors, active magnetic bearing