Paper Info
Title
Modeling and control of a magnetic bearing system
Abstract
This paper presents the pedagogy of digital control design and experiment for a magnetic bearing system as part of a graduate level digital control class. The system identification verifies the system model structure, where the unstable MIMO system is kinematically de-coupled into SISO systems with model uncertainty bounds characterized for robustness analysis. Low order SISO plant models are used for control design while a high order MIMO model is used for verification before the implementation. Following a simple lead compensator, model based control design, analysis, verification, and implementation include state estimator feedback control and its augmentation with integrator and oscillator internal models; all stabilizing control and minimum variance control; approximate plant inversion for feedfoward tracking and repetitive control.
Year
DOI
Venue
2010
10.1109/ACC.2010.5531262
American Control Conference
Keywords
DocType
ISSN
mimo systems,digital control,magnetic bearings,feedfoward tracking,graduate level digital control class,low order siso plant models,magnetic bearing system control,magnetic bearing system modeling,minimum variance control,model based control design,model uncertainty bounds,oscillator internal models,plant inversion approximation,robustness analysis,simple lead compensator,state estimator feedback control,system identification,system model structure,unstable mimo system,feedback control,mimo,mathematical model,gain,minimum variance,system modeling,internal model,magnetic levitation,oscillations
Conference
0743-1619
ISBN
Citations 
PageRank 
978-1-4244-7426-4
2
0.51
References 
Authors
0
5
Name
Order
Citations
PageRank
Kevin Chu1693.18
Yigang Wang215122.44
jason wilson320.51
chiying lin420.85
Tsu-Chin Tsao513537.12