TY - GEN
T1 - Optimal Landing Control of eVTOL Vehicles Using ODE-Based Aerodynamic Model
AU - Wang, Zhenbo
AU - Wu, Yufei
AU - Huang, Daning
N1 - Publisher Copyright:
© 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2023
Y1 - 2023
N2 - In this paper, we propose a novel approach to optimal landing control of electric vertical takeoff and landing (eVTOL) vehicles for potentially wide applications such as urban air mobility (UAM), passenger transportation, package delivery, and aircraft carrier landing missions. Our particular interest is to develop efficient algorithms that facilitate generation of accurate optimal landing trajectories for eVTOL vehicles under operational constraints considering high-fidelity aerodynamic models. As a preliminary study, we focus on the formulation of an optimal control problem with fixed time of flight and choose the control effort as the performance measure for a quadrotor eVTOL vehicle landing mission. The main contribution of this work is the incorporation of aerodynamic models driven by ordinary differential equations (ODEs) into the formulated optimal control problem to enable higher-fidelity landing solutions, which are of key importance for future eVTOL operations. The DJI Matrice 100 vehicle is used in the simulations, and preliminary results of two landing cases are provided to demonstrate the effectiveness of the proposed approach.
AB - In this paper, we propose a novel approach to optimal landing control of electric vertical takeoff and landing (eVTOL) vehicles for potentially wide applications such as urban air mobility (UAM), passenger transportation, package delivery, and aircraft carrier landing missions. Our particular interest is to develop efficient algorithms that facilitate generation of accurate optimal landing trajectories for eVTOL vehicles under operational constraints considering high-fidelity aerodynamic models. As a preliminary study, we focus on the formulation of an optimal control problem with fixed time of flight and choose the control effort as the performance measure for a quadrotor eVTOL vehicle landing mission. The main contribution of this work is the incorporation of aerodynamic models driven by ordinary differential equations (ODEs) into the formulated optimal control problem to enable higher-fidelity landing solutions, which are of key importance for future eVTOL operations. The DJI Matrice 100 vehicle is used in the simulations, and preliminary results of two landing cases are provided to demonstrate the effectiveness of the proposed approach.
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U2 - 10.2514/6.2023-1742
DO - 10.2514/6.2023-1742
M3 - Conference contribution
AN - SCOPUS:85178964173
SN - 9781624106996
T3 - AIAA SciTech Forum and Exposition, 2023
BT - AIAA SciTech Forum and Exposition, 2023
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA SciTech Forum and Exposition, 2023
Y2 - 23 January 2023 through 27 January 2023
ER -