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Evolutionary control mode analysis

Evolutionary control mode analysis
Evolutionary control mode analysis
The control configuration design problem is to find appropriate sets of closed - and/or open-loop controls to meet the desired specification including performance, complexity and economic considerations whilst the choice of the final controller configuration is determined by analysis of the acceptable control models. This paper has considered an approach to the problem of control mode analysis based on the use of multiobjective evolutionary algorithms for the search and optimization of suitable control configurations. The proposed method differs from currently available techniques in that it allows a number of potential configurations to be identified and compared with one another, highlighting both the positive and negative aspects of each individual scheme, in a single framework - hopefully realizing a more informed and efficient design process. As aero-engines become more complex and greater numbers of parameters become controllable and measurable, the need for such tools will increase.


Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Betteridge, H.C.
9b5ae06d-8806-4162-acab-b7efab2e5bc2
Fleming, P.J.
2264e51b-cddd-4db4-ae8d-7f970564bb0e
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Betteridge, H.C.
9b5ae06d-8806-4162-acab-b7efab2e5bc2
Fleming, P.J.
2264e51b-cddd-4db4-ae8d-7f970564bb0e

Chipperfield, A.J., Betteridge, H.C. and Fleming, P.J. (1997) Evolutionary control mode analysis. In IEE Colloquium (Digest).

Record type: Conference or Workshop Item (Paper)

Abstract

The control configuration design problem is to find appropriate sets of closed - and/or open-loop controls to meet the desired specification including performance, complexity and economic considerations whilst the choice of the final controller configuration is determined by analysis of the acceptable control models. This paper has considered an approach to the problem of control mode analysis based on the use of multiobjective evolutionary algorithms for the search and optimization of suitable control configurations. The proposed method differs from currently available techniques in that it allows a number of potential configurations to be identified and compared with one another, highlighting both the positive and negative aspects of each individual scheme, in a single framework - hopefully realizing a more informed and efficient design process. As aero-engines become more complex and greater numbers of parameters become controllable and measurable, the need for such tools will increase.


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More information

Published date: 18 February 1997

Identifiers

Local EPrints ID: 470244
URI: http://eprints.soton.ac.uk/id/eprint/470244
PURE UUID: a278017f-eda2-46fe-9b35-37f16d247f4a
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

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Date deposited: 05 Oct 2022 16:33
Last modified: 23 Feb 2023 02:45

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Contributors

Author: H.C. Betteridge
Author: P.J. Fleming

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