Robust Fuzzy Control of an Active Magnetic Bearing Subject to Voltage Saturation

• Published in: IEEE transactions on control systems technology Vol. 18; no. 1; pp. 164 - 169
• Main Authors: Haiping Du, Nong Zhang, Ji, J.C., Wei Gao
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2010; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Bearings, bushings, rolling bearings; Computer science; control theory; systems; Control system analysis; Control theory. Systems; Drives; Exact sciences and technology; Fuzzy control; Input saturation; Linear matrix inequalities; Magnetic levitation; Mechanical engineering. Machine design; nonlinear system; Numerical simulation; Robust control; Sufficient conditions; T-S fuzzy model; Uncertain systems; Uncertainty; Voltage control; Weight control; T-S fuzzy model; Non linear control; Input saturation; nonlinear system; Non linear system; Voltage control; Modeling; Robust control; Fuzzy logic; Fuzzy control; Uncertain system; Active system; Magnetic bearing; Model reference adaptive control systems; Voltage; Linear matrix inequality; Speed control; Magnetic levitation; Magnetic suspension
• ISSN: 1063-6536; 1558-0865
• DOI: 10.1109/TCST.2008.2009644

Based on a recently proposed model for the active-magnetic-bearing (AMB) switching mode of operation, this paper presents a robust Takagi-Sugeno-model-based fuzzy-control strategy to stabilize the AMB with fast response speed subject to control-voltage saturation and parameter uncertainties. The sufficient conditions for the existence of such a controller are derived in terms of linear matrix inequalities. Numerical simulations against the proposed AMB model and a high-fidelity AMB model are used to validate the effectiveness of the proposed approach.