Multi-objective optimization approach to the ALSTOM gasifier problem
Multi-objective optimization approach to the ALSTOM gasifier problem
A control system design procedure based on the optimization of multiple objectives is used to realize the control design specifications of the linear gasification plant models. A multi-objective genetic algorithm (MOGA) is used in conjunction with an H? loop-shaping design procedure (LSDP) in order to satisfy the requirements of this critical system. The H? LSDP is used to guarantee the stability and robustness of the controller while its associated weighting matrix parameters are selected using the multi-objective search method in order to achieve performance requirements. A controller emerges which is stable but unable to completely meet some of the control objectives. Despite this shortcoming, the study is an excellent vehicle for introduction to an effective H? loop-shaping procedure. Further work, beyond the scope of this challenge has subsequently produced an improved controller design
H? control system design, multi-objective optimization, genetic algorithms, robustness
453-469
Griffin, I.A.
9a7d3927-9b0f-4370-ae14-1316db6e4877
Schroder, P.
35286123-3656-4cb8-a1c0-194aea25926f
Chipperfield, Andrew
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
3d03eaa6-452a-4f73-af13-1c7ba16f9482
1 September 2000
Griffin, I.A.
9a7d3927-9b0f-4370-ae14-1316db6e4877
Schroder, P.
35286123-3656-4cb8-a1c0-194aea25926f
Chipperfield, Andrew
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
3d03eaa6-452a-4f73-af13-1c7ba16f9482
Griffin, I.A., Schroder, P., Chipperfield, Andrew and Fleming, P.J.
(2000)
Multi-objective optimization approach to the ALSTOM gasifier problem.
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 214 (6), .
(doi:10.1243/0959651001540807).
Abstract
A control system design procedure based on the optimization of multiple objectives is used to realize the control design specifications of the linear gasification plant models. A multi-objective genetic algorithm (MOGA) is used in conjunction with an H? loop-shaping design procedure (LSDP) in order to satisfy the requirements of this critical system. The H? LSDP is used to guarantee the stability and robustness of the controller while its associated weighting matrix parameters are selected using the multi-objective search method in order to achieve performance requirements. A controller emerges which is stable but unable to completely meet some of the control objectives. Despite this shortcoming, the study is an excellent vehicle for introduction to an effective H? loop-shaping procedure. Further work, beyond the scope of this challenge has subsequently produced an improved controller design
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Published date: 1 September 2000
Keywords:
H? control system design, multi-objective optimization, genetic algorithms, robustness
Identifiers
Local EPrints ID: 22379
URI: http://eprints.soton.ac.uk/id/eprint/22379
ISSN: 0959-6518
PURE UUID: 2b6b74cc-6a53-4ff3-abfe-adc2f8042620
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Date deposited: 07 Feb 2007
Last modified: 16 Mar 2024 03:31
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Author:
I.A. Griffin
Author:
P. Schroder
Author:
P.J. Fleming
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