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Application of the dynamic iterative learning control to the heteroplanar active magnetic bearing

Application of the dynamic iterative learning control to the heteroplanar active magnetic bearing
Application of the dynamic iterative learning control to the heteroplanar active magnetic bearing
Heteroplanar active magnetic bearings have numerous applications, where one example is a high-temperature gas-cooled reactors. Rotor imbalance, however, may cause problems for critical parts of the system in the form of repetitive periodic vibrations. This is known problem and periodic component extraction is widely used in active magnetic bearing unbalance control laws. More recently, iterative learning control has been considered as an alternative and this paper gives new results on this approach. In particular, a new control law in the 2D systems setting is developed and the results of a simulation based study using the model of a test rig are given, where such a study is an essential step prior to experimental validation
2405-8963
1511-1516
Hladowski, Lukasz
c557e4e1-c08c-4fb6-84d8-909f15786fcb
Mystkowski, A.
1b7deefa-bc31-495e-b1de-c73d6bbf7ede
Galkowski, K.
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Chu, B.
555a86a5-0198-4242-8525-3492349d4f0f
Hladowski, Lukasz
c557e4e1-c08c-4fb6-84d8-909f15786fcb
Mystkowski, A.
1b7deefa-bc31-495e-b1de-c73d6bbf7ede
Galkowski, K.
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Chu, B.
555a86a5-0198-4242-8525-3492349d4f0f

Hladowski, Lukasz, Mystkowski, A., Galkowski, K., Rogers, E. and Chu, B. (2020) Application of the dynamic iterative learning control to the heteroplanar active magnetic bearing. IFAC-PapersOnLine, 53 (2), 1511-1516. (doi:10.1016/j.ifacol.2020.12.2009).

Record type: Meeting abstract

Abstract

Heteroplanar active magnetic bearings have numerous applications, where one example is a high-temperature gas-cooled reactors. Rotor imbalance, however, may cause problems for critical parts of the system in the form of repetitive periodic vibrations. This is known problem and periodic component extraction is widely used in active magnetic bearing unbalance control laws. More recently, iterative learning control has been considered as an alternative and this paper gives new results on this approach. In particular, a new control law in the 2D systems setting is developed and the results of a simulation based study using the model of a test rig are given, where such a study is an essential step prior to experimental validation

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Published date: 14 April 2020

Identifiers

Local EPrints ID: 472449
URI: http://eprints.soton.ac.uk/id/eprint/472449
ISSN: 2405-8963
PURE UUID: 3b21b668-7e86-4464-85d1-c340bc546840
ORCID for E. Rogers: ORCID iD orcid.org/0000-0003-0179-9398
ORCID for B. Chu: ORCID iD orcid.org/0000-0002-2711-8717

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Date deposited: 05 Dec 2022 18:10
Last modified: 17 Mar 2024 03:28

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Contributors

Author: Lukasz Hladowski
Author: A. Mystkowski
Author: K. Galkowski
Author: E. Rogers ORCID iD
Author: B. Chu ORCID iD

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