Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)
DOI: 10.1109/cca.2001.973838
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Unbalance compensation for active magnetic bearings using ILC

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Cited by 10 publications
(9 citation statements)
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“…The last objective is to obtain perfect controller signal when having infinitely iterative learning and then make the error signal become zero. It should be satisfied as [13] lim…”
Section: Feed-forward Compensation Control Analysismentioning
confidence: 99%
“…The last objective is to obtain perfect controller signal when having infinitely iterative learning and then make the error signal become zero. It should be satisfied as [13] lim…”
Section: Feed-forward Compensation Control Analysismentioning
confidence: 99%
“…A LQR scheme for vibration control in AMB system to reduce the unbalance vibrations is proposed by Arias, et al [5]. Moreover, iterative learning control is applied in the unbalance compensation for AMB system [6][7][8][9][10]. However, most of the existing methods to reduce the rotor unbalance vibrations in AMB system are based on the control system, which may to some extent influence the AMB system stability In this paper, a series of assault blocks are added to the rotor system.…”
Section: Introductionmentioning
confidence: 99%
“…This particularly recommends them for use with non-linear systems, as methods based around linear models are naturally difficult to apply. Some of the non-linear systems they have been applied to include an injection moulding machine [93], magnetic bearings [94] and robot manipulators [95].…”
Section: Pd Typementioning
confidence: 99%