Evolutionary H_inf design of an electromagnetic suspension control system for a maglev vehicle
Evolutionary H_inf design of an electromagnetic suspension control system for a maglev vehicle
A multiobjective evolutionary algorithm approach is proposed for the H? design of an electromagnetic suspension (EMS) control system for a maglev vehicle. The evolutionary algorithm is used in conjunction with an H? loop-shaping design procedure to perform multiobjective search over a set of possible weighting function structures and parameter values in order to satisfy a number of conflicting design criteria. It is demonstrated that the proposed approach offers a number of potential benefits over other 'mixed optimization' techniques by allowing the control engineer to select from a number of satisfactory design solutions of differing complexity.
H?, robust control, evolutionary computing, CACSD
345-355
Dakev, N.V.
453178f2-0e1d-4fad-a2cd-d7158dd1196b
Whidborne, J.F.
9b1b6066-a72e-46e3-966c-9bc2cca6e6da
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
c67695a9-5de1-455b-bcaf-87d4d63422b9
1997
Dakev, N.V.
453178f2-0e1d-4fad-a2cd-d7158dd1196b
Whidborne, J.F.
9b1b6066-a72e-46e3-966c-9bc2cca6e6da
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
c67695a9-5de1-455b-bcaf-87d4d63422b9
Dakev, N.V., Whidborne, J.F., Chipperfield, A.J. and Fleming, P.J.
(1997)
Evolutionary H_inf design of an electromagnetic suspension control system for a maglev vehicle.
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 211 (5), .
(doi:10.1243/0959651971539876).
Abstract
A multiobjective evolutionary algorithm approach is proposed for the H? design of an electromagnetic suspension (EMS) control system for a maglev vehicle. The evolutionary algorithm is used in conjunction with an H? loop-shaping design procedure to perform multiobjective search over a set of possible weighting function structures and parameter values in order to satisfy a number of conflicting design criteria. It is demonstrated that the proposed approach offers a number of potential benefits over other 'mixed optimization' techniques by allowing the control engineer to select from a number of satisfactory design solutions of differing complexity.
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Published date: 1997
Keywords:
H?, robust control, evolutionary computing, CACSD
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Local EPrints ID: 22381
URI: http://eprints.soton.ac.uk/id/eprint/22381
ISSN: 0959-6518
PURE UUID: e17d10be-79d7-43ca-8245-2255e1906b06
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Date deposited: 31 Jan 2007
Last modified: 16 Mar 2024 03:31
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Author:
N.V. Dakev
Author:
J.F. Whidborne
Author:
P.J. Fleming
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