Evolutionary design of gas turbine aero-engine controllers
Evolutionary design of gas turbine aero-engine controllers
This paper describes a novel approach to the design of a control system for an aircraft gas turbine engine. A multi-level multiobjective genetic algorithm is employed to design controllers at both individual operating points using system linearisations and small signal response characteristics, and over the full-flight envelope using a nonlinear model and large signal responses. The proposed approach should allow the selection of smoother controller parameters over the flight envelope and ensure that more consistent control demands are made at off-design operating points
2401-2406
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
f5737df7-6bc2-4764-a5d6-6b24233b64d3
6 August 2002
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
f5737df7-6bc2-4764-a5d6-6b24233b64d3
Chipperfield, A.J. and Fleming, P.J.
(2002)
Evolutionary design of gas turbine aero-engine controllers.
In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: SMC'98 Conference Proceedings.
IEEE.
.
(doi:10.1109/ICSMC.1998.725016).
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Conference or Workshop Item
(Paper)
Abstract
This paper describes a novel approach to the design of a control system for an aircraft gas turbine engine. A multi-level multiobjective genetic algorithm is employed to design controllers at both individual operating points using system linearisations and small signal response characteristics, and over the full-flight envelope using a nonlinear model and large signal responses. The proposed approach should allow the selection of smoother controller parameters over the flight envelope and ensure that more consistent control demands are made at off-design operating points
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Published date: 6 August 2002
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SMC'98 Conference Proceedings: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 1998, , SanDiego, CA, United States, 1998-10-14 - 2022-10-14
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Local EPrints ID: 470221
URI: http://eprints.soton.ac.uk/id/eprint/470221
PURE UUID: e8d7b284-dd3a-4f00-af6b-c9f750b94f57
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Date deposited: 04 Oct 2022 16:51
Last modified: 17 Mar 2024 02:56
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Author:
P.J. Fleming
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