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Finite state machine control for aircraft electrical distribution system

Spagnolo, Cosimo; Sumsurooah, Sharmila; Hill, Christopher Ian; Bozhko, Serhiy

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Authors

Cosimo Spagnolo

Christopher Ian Hill

SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
Professor of Aircraft Electric Power Systems



Abstract

This study deals with the development of new control logic for more electric aircraft (MEA) electrical power systems (EPSs). A key aspect of the MEA concept is that traditional pneumatic and hydraulic loads are replaced by electrical equivalents. These new electrical systems are more reliable, highly efficient, and easier to replace or maintain. However, as the number of on-board electrical loads increases the electrical distribution systems on-board are becoming more and more complex. As a result, the control system needs to be adapted and improved in order to allow better manage the overall electrical energy flow, provide faster computational operations, and ensure operation of safety-critical loads under all fault scenarios. This study first gives a brief analysis of the different electrical system topologies before outlining potential control strategies which may be applicable to future MEA EPSs. A new control concept for MEA EPSs is then investigated and considered as a potential substitute of the classical control systems. Finally, a model of the newly proposed logic is implemented and simulated showing how it is able to select and apply a correct reconfiguration of the electrical system under different operating conditions.

Citation

Spagnolo, C., Sumsurooah, S., Hill, C. I., & Bozhko, S. (2019). Finite state machine control for aircraft electrical distribution system. Journal of Engineering, 2018(13), 506-511. https://doi.org/10.1049/joe.2018.0039

Journal Article Type Article
Acceptance Date Jan 17, 2018
Online Publication Date Feb 2, 2019
Publication Date Feb 2, 2019
Deposit Date Feb 19, 2019
Publicly Available Date Feb 19, 2019
Journal Journal of Engineering
Print ISSN 2051-3305
Electronic ISSN 2051-3305
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 2018
Issue 13
Pages 506-511
DOI https://doi.org/10.1049/joe.2018.0039
Public URL https://nottingham-repository.worktribe.com/output/1566724
Publisher URL https://digital-library.theiet.org/content/journals/10.1049/joe.2018.0039

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