Multi-objective optimisation of systems architectures for distributed aero-engine control systems
Multi-objective optimisation 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 optimisation can be applied to this problem for the application of military gas turbine engines is considered.
Thompson, H.A.
302baf0c-2243-4cdf-8fbd-48273da095b8
Fleming, P.J.
a68676ed-e948-422a-aac0-f1fd07a48f02
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
5 June 1998
Thompson, H.A.
302baf0c-2243-4cdf-8fbd-48273da095b8
Fleming, P.J.
a68676ed-e948-422a-aac0-f1fd07a48f02
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Thompson, H.A., Fleming, P.J. and Chipperfield, A.J.
(1998)
Multi-objective optimisation of systems architectures for distributed aero-engine control systems.
In Proceedings of the ASME Turbo Expo.
(doi:10.1115/98-GT-045).
Record type:
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 optimisation can be applied to this problem for the application of military gas turbine engines is considered.
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Published date: 5 June 1998
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Local EPrints ID: 470241
URI: http://eprints.soton.ac.uk/id/eprint/470241
PURE UUID: 76c80ed7-db06-4dd9-a840-0adc0a77f849
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Date deposited: 05 Oct 2022 16:33
Last modified: 17 Mar 2024 02:56
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Author:
H.A. Thompson
Author:
P.J. Fleming
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