DocumentCode
2556789
Title
A new learning control approach to the active magnetic bearing benchmark system
Author
Costic, B.T. ; de Queiroz, M.S. ; Dawson, D.M.
Author_Institution
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Volume
4
fYear
2000
fDate
2000
Firstpage
2639
Abstract
This paper presents a nonlinear control method for the active magnetic bearing benchmark system. A flux input controller, based on a new iterative learning control strategy, is proposed to asymptotically regulate the system while compensating for periodic, exogenous disturbances. Numerical simulation results are presented to illustrate the performance of the proposed controller
Keywords
compensation; dynamics; intelligent control; learning systems; magnetic bearings; nonlinear control systems; active magnetic bearing; disturbance compensation; dynamics; flux input controller; iterative learning control; nonlinear control systems; Compressors; Control systems; Electromagnets; Flywheels; Magnetic levitation; Milling; Noise robustness; Numerical simulation; Sliding mode control; Structural beams;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2000. Proceedings of the 2000
Conference_Location
Chicago, IL
ISSN
0743-1619
Print_ISBN
0-7803-5519-9
Type
conf
DOI
10.1109/ACC.2000.878684
Filename
878684
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