Distributed aero-engine control systems architecture selection using multi-objective optimisation
Distributed aero-engine control systems architecture selection using multi-objective optimisation
The cost of embedding intelligence into sensors and actuators directly has dramatically reduced over the past 10 years. This has led to the recent explosion of smart sensors and actuators available from manufacturers. Initially, these have been developed for the process control industries but increasingly applications in aerospace are being found. Integration of intelligent components is being carried out in an ad hoc manner by incorporating smart elements in inherently centralised architectures. This paper discusses the application of a multidisciplinary, multiobjective optimisation approach to a military gas turbine engine control system architecture design, where implementation benefits and penalties must be systematically evaluated.
multidisciplinary optimisation, multiobjective optimisation, distributed systems
655-664
Thompson, H.A.
17ae7a8d-accc-4d40-9b31-a3082799e3fb
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
fa83d95f-ccaa-4733-acad-2c09179bc9d8
Legge, C.
16f6a68d-3073-4666-8117-e77a94640a8b
1 May 1999
Thompson, H.A.
17ae7a8d-accc-4d40-9b31-a3082799e3fb
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Fleming, P.J.
fa83d95f-ccaa-4733-acad-2c09179bc9d8
Legge, C.
16f6a68d-3073-4666-8117-e77a94640a8b
Thompson, H.A., Chipperfield, A.J., Fleming, P.J. and Legge, C.
(1999)
Distributed aero-engine control systems architecture selection using multi-objective optimisation.
Control Engineering Practice, 7 (5), .
(doi:10.1016/S0967-0661(99)00011-8).
Abstract
The cost of embedding intelligence into sensors and actuators directly has dramatically reduced over the past 10 years. This has led to the recent explosion of smart sensors and actuators available from manufacturers. Initially, these have been developed for the process control industries but increasingly applications in aerospace are being found. Integration of intelligent components is being carried out in an ad hoc manner by incorporating smart elements in inherently centralised architectures. This paper discusses the application of a multidisciplinary, multiobjective optimisation approach to a military gas turbine engine control system architecture design, where implementation benefits and penalties must be systematically evaluated.
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Published date: 1 May 1999
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Copyright © 1999 Elsevier Science Ltd. All rights reserved.
Keywords:
multidisciplinary optimisation, multiobjective optimisation, distributed systems
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Local EPrints ID: 22911
URI: http://eprints.soton.ac.uk/id/eprint/22911
ISSN: 0967-0661
PURE UUID: 78cd741c-a989-41bf-837f-e21bc131d51f
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Date deposited: 24 Mar 2006
Last modified: 16 Mar 2024 03:31
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Author:
H.A. Thompson
Author:
P.J. Fleming
Author:
C. Legge
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