10.1088/1757-899X/1226/1/012064
https://zenodo.org/records/6280436
oai:zenodo.org:6280436
Andrea Spinelli
Andrea Spinelli
School of Aerospace, Transport and Manufacturing, Cranfield University, College Road, Cranfield, MK43 0AL, United Kingdom
Luchien Anderson
Luchien Anderson
School of Aerospace, Transport and Manufacturing, Cranfield University, College Road, Cranfield, MK43 0AL, United Kingdom
Hossein Balaghi Enalou
Hossein Balaghi Enalou
School of Aerospace, Transport and Manufacturing, Cranfield University, College Road, Cranfield, MK43 0AL, United Kingdom
Bahareh Zaghari
Bahareh Zaghari
School of Aerospace, Transport and Manufacturing, Cranfield University, College Road, Cranfield, MK43 0AL, United Kingdom
Timoleon Kipouros
Timoleon Kipouros
School of Aerospace, Transport and Manufacturing, Cranfield University, College Road, Cranfield, MK43 0AL, United Kingdom
Panagiotis Laskaridis
Panagiotis Laskaridis
School of Aerospace, Transport and Manufacturing, Cranfield University, College Road, Cranfield, MK43 0AL, United Kingdom
Application of Probabilistic principles to Set-Based Design for the optimisation of a hybrid-electric propulsion system
Zenodo
2022
2022-02-24
https://zenodo.org/communities/futprint50h2020project
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
Current research in hybrid-electric aircraft propulsion has outlined the increased complexity in design when compared with traditional propulsion. However, current design methodologies rely on aircraft-level analysis and do not include the consideration of the impact of new technologies and their uncertainty. This can be a key factor for the development of future hybrid-electric propulsion systems. In this paper, we present a methodology for exploring the design space using the principles of Set-Based Design, which incorporates probabilistic assessment of requirements and multidisciplinary optimisation with uncertainty. The framework can explore every design parameter combination using a provided performance model of the system under design and evaluate the probability of satisfying a minimum required figure of merit. This process allows to quickly discard configurations incapable of meeting the goals of the optimiser. A multidisciplinary optimiser then is used to obtain the best points in each surviving configuration, together with their uncertainty. This information is used to discard undesirable configurations and build a set of Pareto optimal solutions. We demonstrate an early implementation of the framework for the design of a parallel hybrid-electric propulsion system for a regional aircraft of 50 seats. We achieve a considerable reduction to the required function evaluations and optimisation run time by avoiding the ineffective areas of the design space but at the same time maintaining the optimality potential of the selected sets of design solutions.
European Commission
10.13039/501100000780
875551
Future propulsion and integration: towards a hybrid-electric 50-seat regional aircraft