Multi-objective optimization of systems architectures for distributed aero-engine control systems
Multi-objective optimization of systems architectures for distributed aero-engine control systems
The increasing use of embedded intelligence to produce smart sensors and actuators offers great potential benefits in adopting a distributed control strategy in aerospace applications. There are many advantages to be gained: fewer and shorter buses, intrinsic partitioning, smaller control box size, increased health monitoring, increased system flexibility and reduced vulnerability to hazardous events. However, this has to be traded off against the problems of greater complexity, processor diversity, accessibility, exposure of electronics to severe environments, power distribution, software production costs and management. In this paper how multi-objective optimization can be applied to this problem for the application of military gas turbine engines is considered
Thompson, H.A.
afa96cd3-e7e0-4cfd-a45e-e5df29807093
Fleming, P.J.
98fedb80-94cc-4b90-a9a8-2710e700b521
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
1998
Thompson, H.A.
afa96cd3-e7e0-4cfd-a45e-e5df29807093
Fleming, P.J.
98fedb80-94cc-4b90-a9a8-2710e700b521
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Thompson, H.A., Fleming, P.J. and Chipperfield, A.J.
(1998)
Multi-objective optimization of systems architectures for distributed aero-engine control systems.
In American Society of Mechanical Engineers (Paper).
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Conference or Workshop Item
(Paper)
Abstract
The increasing use of embedded intelligence to produce smart sensors and actuators offers great potential benefits in adopting a distributed control strategy in aerospace applications. There are many advantages to be gained: fewer and shorter buses, intrinsic partitioning, smaller control box size, increased health monitoring, increased system flexibility and reduced vulnerability to hazardous events. However, this has to be traded off against the problems of greater complexity, processor diversity, accessibility, exposure of electronics to severe environments, power distribution, software production costs and management. In this paper how multi-objective optimization can be applied to this problem for the application of military gas turbine engines is considered
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Published date: 1998
Venue - Dates:
ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition, , Stockholm, Sweden, 1998-06-02 - 1998-06-02
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Local EPrints ID: 470226
URI: http://eprints.soton.ac.uk/id/eprint/470226
PURE UUID: 59af036d-4080-4411-93ad-e977274f445c
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Date deposited: 04 Oct 2022 16:52
Last modified: 23 Feb 2023 02:45
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Contributors
Author:
H.A. Thompson
Author:
P.J. Fleming
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