LAPSE:2023.19937
Published Article
LAPSE:2023.19937
ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration
Sharmila Sumsurooah, Yun He, Marcello Torchio, Konstantinos Kouramas, Beniamino Guida, Fabrizio Cuomo, Jason Atkin, Serhiy Bozhko, Alfredo Renzetti, Antonio Russo, Stefano Riverso, Alberto Cavallo
March 9, 2023
Abstract
A centralised smart supervisor (CSS) controller with enhanced electrical energy management (E2-EM) capability has been developed for an Iron Bird Electrical Power Generation and Distribution System (EPGDS) within the Clean Sky 2 ENhanced electrical energy MAnagement (ENIGMA) project. The E2-EM strategy considers the potential for eliminating the 5 min overload capability of the generators to achieve a substantial reduction in the mass of the EPGDS. It ensures optimal power and energy sharing within the EPGDS by interfacing the CSS with the smart grid network (SGN), the energy storage and regeneration system (ESRS), and the programmable load bank 1 secondary distribution board (PLB1 SDU) during power overloads and failure conditions. The CSS has been developed by formalizing E2-EM logic as an algorithm operating in real time and by following safety and reliability rules. The CSS undergoes initial verification using model-in-the-loop (MIL) testing. This paper describes the EPGDS simulated for the MIL testing and details the E2-EM strategy, the algorithms, and logic developed for the ENIGMA CSS design. The CSS was subjected to two test cases using MIL demonstration, and based on the test results, the performance of the ENIGMA CSS is verified and validated.
Keywords
coordination of aircraft smart grid, enhanced electrical energy management (E2-EM), model-in-the-loop, supervisory control
Suggested Citation
Sumsurooah S, He Y, Torchio M, Kouramas K, Guida B, Cuomo F, Atkin J, Bozhko S, Renzetti A, Russo A, Riverso S, Cavallo A. ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration. (2023). LAPSE:2023.19937
Author Affiliations
Sumsurooah S: Power Electronics Machines and Control Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2TU, UK
He Y: School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK [ORCID]
Torchio M: Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland
Kouramas K: Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland
Guida B: Aeromechs, 81031 Aversa, Italy
Cuomo F: Leonardo Aircraft Division, Leonardo Aircraft, 80038 Pomigliano D’Arco, Italy
Atkin J: School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK
Bozhko S: Power Electronics Machines and Control Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2TU, UK
Renzetti A: Aeromechs, 81031 Aversa, Italy
Russo A: Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy [ORCID]
Riverso S: Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland
Cavallo A: Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy [ORCID]
Journal Name
Energies
Volume
14
Issue
17
First Page
5518
Year
2021
Publication Date
2021-09-03
ISSN
1996-1073
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Original Submission
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PII: en14175518, Publication Type: Journal Article
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LAPSE:2023.19937
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https://doi.org/10.3390/en14175518
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