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Multi-objective optimization approach to the ALSTOM gasifier problem

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
0959-6518
453-469
Griffin, I.A.
9a7d3927-9b0f-4370-ae14-1316db6e4877
Schroder, P.
35286123-3656-4cb8-a1c0-194aea25926f
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
c67695a9-5de1-455b-bcaf-87d4d63422b9
Griffin, I.A.
9a7d3927-9b0f-4370-ae14-1316db6e4877
Schroder, P.
35286123-3656-4cb8-a1c0-194aea25926f
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
c67695a9-5de1-455b-bcaf-87d4d63422b9

Griffin, I.A., Schroder, P., Chipperfield, A.J. 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), 453-469. (doi:10.1243/0959651001540807).

Record type: Article

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: 2000
Keywords: H? control system design, multi-objective optimization, genetic algorithms, robustness

Identifiers

Local EPrints ID: 22379
URI: https://eprints.soton.ac.uk/id/eprint/22379
ISSN: 0959-6518
PURE UUID: 2b6b74cc-6a53-4ff3-abfe-adc2f8042620
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

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Date deposited: 07 Feb 2007
Last modified: 06 Oct 2018 00:36

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Contributors

Author: I.A. Griffin
Author: P. Schroder
Author: P.J. Fleming

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