EconPapers    
Economics at your fingertips  
 

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 and Alberto Cavallo
Additional contact information
Sharmila Sumsurooah: Power Electronics Machines and Control Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2TU, UK
Yun He: School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK
Marcello Torchio: Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland
Konstantinos Kouramas: Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland
Beniamino Guida: Aeromechs, 81031 Aversa, Italy
Fabrizio Cuomo: Leonardo Aircraft Division, Leonardo Aircraft, 80038 Pomigliano D’Arco, Italy
Jason Atkin: School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK
Serhiy Bozhko: Power Electronics Machines and Control Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2TU, UK
Alfredo Renzetti: Aeromechs, 81031 Aversa, Italy
Antonio Russo: Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy
Stefano Riverso: Applied Research & Technology, Collins Aerospace, T23 XN53 Cork, Ireland
Alberto Cavallo: Department of Engineering, Università degli Studi della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy

Energies, 2021, vol. 14, issue 17, 1-17

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: supervisory control; enhanced electrical energy management (E2-EM); coordination of aircraft smart grid; model-in-the-loop (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5518/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5518/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:17:p:5518-:d:628799

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5518-:d:628799