Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | AIAA SciTech Forum and Exposition, 2023 |
| Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
| ISBN (Print) | 9781624106996 |
| DOIs | |
| State | Published - 2023 |
| Event | AIAA SciTech Forum and Exposition, 2023 - Orlando, United States Duration: Jan 23 2023 → Jan 27 2023 |
Publication series
| Name | AIAA SciTech Forum and Exposition, 2023 |
|---|
Conference
| Conference | AIAA SciTech Forum and Exposition, 2023 |
|---|---|
| Country/Territory | United States |
| City | Orlando |
| Period | 1/23/23 → 1/27/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
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