Multi-fidelity surrogate model of an eVTOL for certification

What is it about?

This paper introduces the project MODEL-SI, funded by Horizon Europe and managed by the European Union Aviation Safety Agency (EASA). The project aims to evaluate advanced modeling techniques for electric Vertical Takeoff and Landing (eVTOL) aircraft and assess potential cost savings in flight testing through digital twin technology during certification. The project also focuses on understanding unique aerodynamic phenomena and dynamic responses of eVTOL aircraft to factors like wind gusts. It emphasizes the importance of using various fidelity levels in modeling to capture complex flow patterns, such as rotor-rotor and rotor-wing interactions. Additionally, machine learning methods like Gaussian processes and neural networks will be used to combine data from different fidelity models for faster and accurate simulations, while pattern recognition techniques will aid in deeper understanding of the physics involved, using data from Computational Fluid Dynamics (CFD) or experiments. The paper outlines the simulation model architecture and the integration of data-driven models into the simulation environment.

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Photo by Hyundai Motor Group on Unsplash

Photo by Hyundai Motor Group on Unsplash