Multi-Objective Supervisory Control in More-Electric Aircraft Using Model Predictive Control: An ORCHESTRA Application

Giacomo Canciello (), Luigi Cacciapuoti, Angelo Perrotta, Beniamino Guida and Alberto Cavallo
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Giacomo Canciello: Aeromechs, Viale Olimpico, 29, 81031 Aversa, Italy
Luigi Cacciapuoti: Aeromechs, Viale Olimpico, 29, 81031 Aversa, Italy
Angelo Perrotta: Aeromechs, Viale Olimpico, 29, 81031 Aversa, Italy
Beniamino Guida: Aeromechs, Viale Olimpico, 29, 81031 Aversa, Italy
Alberto Cavallo: Dipartimento di Ingegneria, Universita’ degli Studi della Campania “Luigi Vanvitelli”, Via Roma, 29, 81031 Aversa, Italy

Energies, 2024, vol. 17, issue 15, 1-26

Abstract: The crucial issue of supervising and managing electrical energy in the context of aircraft electrification, known as More-Electric Aircraft (MEA), is addressed in this paper. In the pursuit of developing energy-efficient solutions with reduced environmental impact, this research contributes valuable insights into innovative control strategies crucial for advancing aircraft electrification technologies. Through optimization techniques, the management of energy aims to maximize the proposed objectives. With a focus on controlling battery power for charging, discharging, and load shedding, this study employs Model Predictive Control (MPC) alongside an optimizer solving a mixed-integer linear programming (MILP) problem. Constraints encompass various aspects, including battery charging, maximum generator power, battery absorption, discharge limits, and converter power limitations. Theoretical results and detailed simulations demonstrate the effectiveness of the proposed approach in finding a good compromise among the objectives subjected to the system constraints. Practical validation of the proposed approach is conducted through the European project ORCHESTRA, utilizing comprehensive system simulations in Matlab/Simulink (2022b).

Keywords: more-electric aircraft; model predictive control; optimized power management (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: 2024
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