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Generator overload reduction using smart power management

Spagnolo, Cosimo; Sumsurooah, Sharmila; Hill, Chris; Bozhko, Serhiy

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Authors

Cosimo Spagnolo

Chris Hill

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



Abstract

Weight reduction is a key driver in the aerospace sector. Every kilogram of weight reduction has significant benefits over the aircraft’s life cycle. This paper introduces a smart power management technique which is able to reduce the overload on the main aircraft generators. If implemented this would allow the generator size to be reduced at the design stage as no overload capability would be required. The paper first introduces the theoretical and mathematical background of the smart power management controller, utilizing both Linear Temporal Logic and a Finite State Machine. A case study is then used to show the derivation of the controller and demonstrate how smart reconfiguration of power paths (e.g. peak request of power) can reduce the overload on the main aircraft generators.

Citation

Spagnolo, C., Sumsurooah, S., Hill, C., & Bozhko, S. (2018). Generator overload reduction using smart power management. In 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)

Conference Name 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Start Date Nov 7, 2018
End Date Nov 9, 2018
Acceptance Date Jul 26, 2018
Publication Date Nov 7, 2018
Deposit Date Oct 25, 2018
Publicly Available Date Oct 26, 2018
Book Title 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Chapter Number NA
ISBN NA
Public URL https://nottingham-repository.worktribe.com/output/1191268

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