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 increa...

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Bibliographic Details
Published inControl engineering practice Vol. 7; no. 5; pp. 655 - 664
Main Authors Thompson, H.A., Chipperfield, A.J., Fleming, P.J., Legge, C.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.1999
Subjects
Distributed systems
Multidisciplinary optimisation
Multiobjective optimisation
Distributed systems
Multiobjective optimisation
Multidisciplinary optimisation
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Summary: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.
ISSN:0967-0661
1873-6939
DOI:10.1016/S0967-0661(99)00011-8