HIL flight simulator for VTOL-UAV pilot training using X-plane
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PLEC2021-007997 AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127409OB-C31 Gobierno de Navarra//PC109-110
Impacto
|
10.3390/info13120585
Resumen
With the increasing popularity of vertical take-off and landing unmanned aerial vehicles (VTOL UAVs), a new problem arises: pilot training. Most conventional pilot training simulators are designed for full-scale aircrafts, while most UAV simulators are just focused on conceptual testing and design validation. The X-Plane flight simulator was extended to include new functionalities such as complex ...
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With the increasing popularity of vertical take-off and landing unmanned aerial vehicles (VTOL UAVs), a new problem arises: pilot training. Most conventional pilot training simulators are designed for full-scale aircrafts, while most UAV simulators are just focused on conceptual testing and design validation. The X-Plane flight simulator was extended to include new functionalities such as complex wind dynamics, ground effect, and accurate real-time weather. A commercial HIL flight controller was coupled with a VTOL convertiplane UAV model to provide realistic flight control. A real flight case scenario was tested in simulation to show the importance of including an accurate wind model. The result is a complete simulation environment that has been successfully deployed for pilot training of the Marvin aircraft manufactured by FuVeX. [--]
Materias
Commercial,
Flight simulator,
HIL,
Pilot,
UAV,
X-Plane
Editor
MDPI
Publicado en
Information, 2022, 13(12), 1-17
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
This work has been supported in part by the Ministerio de Ciencia e Innovación (Spain) under the research grants HOLISTIC PLEC2021-007997, CONDOR-Connected PID2021-127409OB-C31; in part by the Government of Navarre under the research grants PC109-110 NAITEST, DroneVC 0011-4218-2022-000006.