Abstract
In the concept of urban air mobility (UAM), electric vertical take-off and landing (eVTOL) vehicles are designed to exploit the third dimension of urban airspace, offering services such as package delivery, passenger transportation, and emergency medical missions. Due to limited onboard space and battery capacity, trajectory optimization for eVTOL flight missions must achieve mission objectives while adhering to all operational, safety, and dynamic constraints. However, in real-world scenarios, particularly during vehicle descent and landing phases, environmental factors can significantly impact the aircraft’s aerodynamic performance. Therefore, in this paper, we propose a novel approach for solving the optimal landing control problem for eVTOL vehicles, incorporating high-fidelity aerodynamic models. The aerodynamic models, driven by ordinary differential equations (ODEs), are integrated with nominal flight dynamics within an optimal control problem formulation. This formulation is solved using two methods for comparison: the OpenMDAO tool and the GPOPS-II solver. The results demonstrate the feasibility of the proposed approach.
| Original language | English (US) |
|---|---|
| Title of host publication | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 |
| Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
| ISBN (Print) | 9781624107047 |
| DOIs | |
| State | Published - 2023 |
| Event | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 - San Diego, United States Duration: Jun 12 2023 → Jun 16 2023 |
Publication series
| Name | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 |
|---|
Conference
| Conference | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 6/12/23 → 6/16/23 |
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
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Aerospace Engineering
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