TY - GEN
T1 - Are Tilt Quadrotors More Energy-Efficient Than Conventional Quadrotors? A Preliminary Study
AU - Eliker, Karam
AU - Jouffroy, Jerome
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper studies the energy-saving potentials of tilt-rotor drones under the presence of wind disturbances. Owing to the symmetry of the problem, a mathematical model including simple computational fluid dynamics (CFD) analysis-based aerodynamics is first presented. To deal with the minimum energy problem, a minimum energy super-twisting algorithm (STA) is used for stabilization around any desired pitch angle, while the extremum-seeking approach is employed to calculate the optimal pitch angle to minimize the consumed energy in real-time. Numerical simulation and comparison studies with both a conventional quadrotor and a tilt-quadrotor stabilized at zero pitch angle show that the proposed method exhibits an interesting potential in terms of energy consumption, thus resulting in the possibility for greater flight durations.
AB - This paper studies the energy-saving potentials of tilt-rotor drones under the presence of wind disturbances. Owing to the symmetry of the problem, a mathematical model including simple computational fluid dynamics (CFD) analysis-based aerodynamics is first presented. To deal with the minimum energy problem, a minimum energy super-twisting algorithm (STA) is used for stabilization around any desired pitch angle, while the extremum-seeking approach is employed to calculate the optimal pitch angle to minimize the consumed energy in real-time. Numerical simulation and comparison studies with both a conventional quadrotor and a tilt-quadrotor stabilized at zero pitch angle show that the proposed method exhibits an interesting potential in terms of energy consumption, thus resulting in the possibility for greater flight durations.
U2 - 10.1109/ICUAS60882.2024.10557084
DO - 10.1109/ICUAS60882.2024.10557084
M3 - Article in proceedings
AN - SCOPUS:85197459301
T3 - Proceedings of International Conference on Unmanned Aircraft Systems
SP - 376
EP - 381
BT - 2024 International Conference on Unmanned Aircraft Systems, ICUAS 2024
PB - IEEE
T2 - 2024 International Conference on Unmanned Aircraft Systems, ICUAS 2024
Y2 - 4 June 2024 through 7 June 2024
ER -