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
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;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.878684
