DocumentCode :
2060935
Title :
Unbalance compensation for active magnetic bearings using ILC
Author :
Chiacchiarini, Héctor G. ; Mandolesi, Pablo S.
Author_Institution :
Departamento de Ingenieria Electrica, Univ. Nacional del Sur, Bahia Blanca, Argentina
fYear :
2001
fDate :
2001
Firstpage :
58
Lastpage :
63
Abstract :
A PID control strategy with compensation of unbalance due to centrifugal forces using a learning strategy is presented for an active magnetic bearing. Experimental results are included, which show good performance with tracking of the disturbance in a wide range of shaft velocities. Experiments were performed with different methods to eliminate the undesirable high frequency components from the compensating signal and to allow changes in magnitude and frequency of the perturbation: a) Using a forgetting factor, and b) using a noncausal low-pass filter
Keywords :
compensation; iterative methods; learning (artificial intelligence); low-pass filters; machine control; magnetic bearings; three-term control; ILC; PID control strategy; active magnetic bearings; centrifugal forces; forgetting factor; high-frequency component elimination; iterative learning control; learning strategy; noncausal low-pass filter; unbalance compensation; Automatic control; Bandwidth; Filters; Force control; Frequency; Magnetic levitation; Shafts; Signal processing; Tellurium; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6733-2
Type :
conf
DOI :
10.1109/CCA.2001.973838
Filename :
973838
Link To Document :
بازگشت