VTOL UAV digital twin for take-off, hovering and landing in different wind conditions
Date
2023Author
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
Impact
|
10.1016/j.simpat.2022.102703
Abstract
With UAVs becoming increasingly popular in the industry, vertical take-off and landing
(VTOL) convertiplanes are emerging as a compromise between the advantages of planes and
multicopters. Due to their large wing surface area, VTOL convertiplanes are subject to a strong
wind dependence on critical phases such as take-off, landing, and hovering. Developing a
new and improved unmanned aerial ve ...
[++]
With UAVs becoming increasingly popular in the industry, vertical take-off and landing
(VTOL) convertiplanes are emerging as a compromise between the advantages of planes and
multicopters. Due to their large wing surface area, VTOL convertiplanes are subject to a strong
wind dependence on critical phases such as take-off, landing, and hovering. Developing a
new and improved unmanned aerial vehicle (UAV) is often expensive and associated with
failures and accidents. This paper proposes the dynamic characterization of a commercial VTOL
convertiplane UAV in copter mode and provides a novel method to estimate the aerodynamic
forces and moments for any possible wind speed and direction. Starting from Euler’s equations
of rigid body dynamics, we have derived the mathematical formulation to precisely consider
aerodynamic forces and moments caused by any wind speed and direction. This unique
approach will allow for VTOL convertiplane UAVs to be trained and tested digitally in takeoff, hovering, and landing maneuvers without the cost and hassle of physical testing, and the
dependence on existing wind conditions. A digital twin of a VTOL convertiplane UAV in copter
mode has been modeled and tested in the Gazebo robotics simulator. Take-off, hovering and
landing maneuvers have been compared with and without the wind physics model. Finally, the
simulator has been tested against real flight conditions (reproducing the mean wind speed and
direction only), showing a natural and realistic behavior. [--]
Subject
VTOL,
UAV,
Digital twin,
Aerodynamic coefficients,
Gazebo,
Wind model
Publisher
Elsevier
Published in
Simulation Modelling Practice and Theory 123 (2023) 102703
Departament
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
Publisher version
Sponsorship
This work has been supported in part by the Ministerio de Ciencia e Innovación (Spain) under the research grant RTI2018-095499-B-C31 IoTrain;
in part by Agencia Estatal de Investigación (AEI) and European Union NextGenerationEU/PRTR PLEC2021-007997: Holistic power lines predictive maintenance
system; and in part by the Government of Navarre (Departamento de Desarrollo Económico) under the research grants 0011-1411-2021-000021 EMERAL:
Emergency UAVs for long range operations, 0011-1365-2020-000078 DIVA, and 0011-1411-2021-000025 MOSIC: Plataforma logística de largo alcance, eléctrica
y conectada.