Global optimization of distributed output feedback controllers
Global optimization of distributed output feedback controllers
When the frequency range over which a reduction in vibration is desired is limited to a particular structural mode of vibration, for example, it is shown that a centralized velocity feedback controller can perform better than a decentralized controller for a given level of control effort. The decentralized controller, however, has the desirable properties of scalability and ease of implementation. A number of strategies for clustering the control locations have been proposed to exploit both the performance of the centralized controller and the scalability of decentralized controllers but these have previously been only locally optimal. This paper describes methods by which these distributed controllers may be designed to be globally optimal and gives examples of simulated results of these optimal distributed controllers.
1587-1594
Baumann, O.N.
1226ddee-5542-4c44-bac0-7d4fc8686b61
Elliott, S.J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
September 2007
Baumann, O.N.
1226ddee-5542-4c44-bac0-7d4fc8686b61
Elliott, S.J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
Baumann, O.N. and Elliott, S.J.
(2007)
Global optimization of distributed output feedback controllers.
The Journal of The Acoustical Society of America, 122 (3), .
(doi:10.1121/1.2756796).
Abstract
When the frequency range over which a reduction in vibration is desired is limited to a particular structural mode of vibration, for example, it is shown that a centralized velocity feedback controller can perform better than a decentralized controller for a given level of control effort. The decentralized controller, however, has the desirable properties of scalability and ease of implementation. A number of strategies for clustering the control locations have been proposed to exploit both the performance of the centralized controller and the scalability of decentralized controllers but these have previously been only locally optimal. This paper describes methods by which these distributed controllers may be designed to be globally optimal and gives examples of simulated results of these optimal distributed controllers.
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Published date: September 2007
Organisations:
Signal Processing & Control Group
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Local EPrints ID: 49441
URI: http://eprints.soton.ac.uk/id/eprint/49441
PURE UUID: fde12bcf-c2f9-47d1-8c60-85c6f9a493ad
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Date deposited: 13 Nov 2007
Last modified: 15 Mar 2024 09:56
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Author:
O.N. Baumann
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