MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification

Pedrioli, Andrea; Capone, Pierluigi; Righi, Marcello; Garcia-Sanchez, Elena; Pinsard, Laurent; Vieira Gomes, Joana

doi:10.2514/6.2024-1624

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification
Authors:	Pedrioli, Andrea Capone, Pierluigi Righi, Marcello Garcia-Sanchez, Elena Pinsard, Laurent Vieira Gomes, Joana
et. al:	No
DOI:	10.2514/6.2024-1624
Conference details:	American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024
Issue Date:	10-Jan-2024
Publisher / Ed. Institution:	American Institute of Aeronautics and Astronautics
Language:	English
Subjects:	Simulation; Flight testing; Digital twin
Subject (DDC):	003: Systems 629: Aeronautical, automotive engineering
Abstract:	With this paper we present the project MODEL-SI, which is funded by the Horizon Europe and managed by the European Union Aviation Safety Agency (EASA). It aims at assessing the goodness of state-of-art modelling techniques as they are applied to eVTOL aircraft and the potential savings in flight testing costs, if a digital twin is exploited during the certification process. The aim of the project could also be reformulated by saying that (i) eVTOL aircraft exhibit peculiar aerodynamics phenomena and may experience very interesting dynamic responses to perturbations such as wind gusts, and (ii) state of art modelling and multi-fidelity in particular may turn out to be an effective approach to the exploration of the flight envelope with all relevant configurations. As a matter of fact, we know that some fast, low-fidelity model is necessary to cover flight envelope and a number of configurations; moreover, we expect local, mid- and high-fidelity modelling to be indispensable to capture some of the flow mechanics patterns (typically, the interactions rotor-rotor and rotor-wing). Finally, we expect machine learning to play a role in our project or even to be instrumental. Trivially, we plan to exploit gaussian processes and / or neural networks to combine data from low-, mid- and high-fidelity physics-based models into a fast yet accurate surrogate model. However, pattern-recognition may also be exploited to acquire a deeper understanding of the physics involved; for instance, this can happen from CFD-generated or experimental data. The physics-based simulation model architecture is presented together with the workflow of the data-driven models and how they are integrated in a simulation environment.
Further description:	Project website: https://www.zhaw.ch/en/engineering/institutes-centres/zav/air-vehicle-design-and-technology/flight-mechanics-and-flight-control-systems/model-si/
URI:	https://digitalcollection.zhaw.ch/handle/11475/29884
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Mechanical Systems (IMES) Centre for Aviation (ZAV)
Appears in collections:	Publikationen School of Engineering

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Pedrioli, A., Capone, P., Righi, M., Garcia-Sanchez, E., Pinsard, L., & Vieira Gomes, J. (2024, January 10). MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification. American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. https://doi.org/10.2514/6.2024-1624

Pedrioli, A. et al. (2024) ‘MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification’, in American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. American Institute of Aeronautics and Astronautics. Available at: https://doi.org/10.2514/6.2024-1624.

A. Pedrioli, P. Capone, M. Righi, E. Garcia-Sanchez, L. Pinsard, and J. Vieira Gomes, “MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification,” in American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024, Jan. 2024. doi: 10.2514/6.2024-1624.

PEDRIOLI, Andrea, Pierluigi CAPONE, Marcello RIGHI, Elena GARCIA-SANCHEZ, Laurent PINSARD und Joana VIEIRA GOMES, 2024. MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification. In: American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. Conference paper. American Institute of Aeronautics and Astronautics. 10 Januar 2024

Pedrioli, Andrea, Pierluigi Capone, Marcello Righi, Elena Garcia-Sanchez, Laurent Pinsard, and Joana Vieira Gomes. 2024. “MODEL-SI : Modeling and Simulation - Multi-Fidelity Surrogate Model of an eVTOL for Certification.” Conference paper. In American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2024-1624.

Pedrioli, Andrea, et al. “MODEL-SI : Modeling and Simulation - Multi-Fidelity Surrogate Model of an eVTOL for Certification.” American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024, American Institute of Aeronautics and Astronautics, 2024, https://doi.org/10.2514/6.2024-1624.