Fuzzy variable gain robust control of active magnetic bearings rigid rotor system

Abstract

A high speed rigid rotor system supported by active magnetic bearings (AMBs) puts forward higher requirements on the performance of controllers. The fuzzy variable gain H‐infinity robust control (FVGRC) method is proposed to simplify controller design while suppressing system uncertainty. First, the T‐S fuzzy model of four‐degree‐of‐freedom (4‐DOF) AMBs was established based on the 4‐DOF AMBs rigid rotor equivalent coupling model optimised by the μ‐gap metric. Then, based on the fuzzy models of AMBs systems under different operating conditions, the relative optimal weight function value of H‐infinity robust controller was calculated when AMBs system was at value of the speed endpoint, and the fuzzy variable gain H‐infinity robust (FVGR) controller was designed on this basis. Finally, the simulation and experimental results showed that the FVGRC can simplify the model of controller and ensure the stable operation of AMBs rigid rotor system in the full speed range under high‐speed conditions.

Automatic Control and System Theory and Advanced Applications—Volume 2

“…The current research is mainly devoted to solutions to mitigate failure risk: in [25], a machine learning algorithm is considered for predicting failures based on the acoustic characteristics of the system. At the same time, a fuzzy logic robust controller is designed [26] to optimize the high-speed performance of an active magnetic bearing motor. An approach based on multi-objective control is presented in [27] for preserving the performance even in the presence of faults.…”