Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMAG.2005.851866
Title: Automatic learning control for unbalance compensation in active magnetic bearings
Authors: Bi, C. 
Wu, D.
Jiang, Q.
Liu, Z.
Keywords: Active magnetic bearings
Automatic learning control
Unbalance compensation
Issue Date: Jul-2005
Source: Bi, C., Wu, D., Jiang, Q., Liu, Z. (2005-07). Automatic learning control for unbalance compensation in active magnetic bearings. IEEE Transactions on Magnetics 41 (7) : 2270-2280. ScholarBank@NUS Repository. https://doi.org/10.1109/TMAG.2005.851866
Abstract: This paper proposes a new control scheme, automatic learning control, to eliminate unbalance effects, which adversely affect the operation of active magnetic bearings. This control method is based on time-domain iterative learning control and gain-scheduled control. The controller can utilize the optimal control currents for the unbalance compensations. In addition, the variable learning cycle and variable learning gain are employed in the learning process to achieve better performance against rotating speed fluctuations. The control algorithm does not require large memory size and intensive computation. We tested the control system in experiments, and the experimental results prove that the control method is effective over a wide range of operation speeds. © 2005 IEEE.
Source Title: IEEE Transactions on Magnetics
URI: http://scholarbank.nus.edu.sg/handle/10635/55170
ISSN: 00189464
DOI: 10.1109/TMAG.2005.851866
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