Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses
The advancement of electric vertical take-off and landing (eVTOL) aircraft has expanded the horizon of urban air mobility. However, the challenge of generating precise vertical take-off and landing (VTOL) trajectories that comply with airworthiness requirements remains. This paper presents an approa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/11/1/39 |
| _version_ | 1797344922697728000 |
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| author | Zhidong Lu Haichao Hong Florian Holzapfel |
| author_facet | Zhidong Lu Haichao Hong Florian Holzapfel |
| author_sort | Zhidong Lu |
| collection | DOAJ |
| description | The advancement of electric vertical take-off and landing (eVTOL) aircraft has expanded the horizon of urban air mobility. However, the challenge of generating precise vertical take-off and landing (VTOL) trajectories that comply with airworthiness requirements remains. This paper presents an approach for optimizing VTOL trajectories considering six degrees of freedom (6DOF) dynamics and operational constraints. Multi-phase optimal control problems are formulated to address specific constraints in various flight stages. The incremental nonlinear dynamic inversion (INDI) controller is employed to execute the flight mission in each phase. Controlled flight simulations yield dynamically feasible trajectories that serve as initial guesses for generating sub-optimal trajectories within individual phases. A feasible and sub-optimal initial guess for the holistic multi-phase problem is established by concatenating these single-phase trajectories. Focusing on a tilt-wing eVTOL aircraft, this paper computes VTOL trajectories leveraging the proposed initial guess generation procedure. These trajectories account for complex flight dynamics, align with various operation constraints, and minimize electric energy consumption. |
| first_indexed | 2024-03-08T11:09:54Z |
| format | Article |
| id | doaj.art-f1ebf37203184e5ead5e95f30df14679 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-08T11:09:54Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-f1ebf37203184e5ead5e95f30df146792024-01-26T14:12:11ZengMDPI AGAerospace2226-43102023-12-011113910.3390/aerospace11010039Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial GuessesZhidong Lu0Haichao Hong1Florian Holzapfel2Institute of Flight System Dynamics, Technical University of Munich, 85748 Garching, GermanySchool of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute of Flight System Dynamics, Technical University of Munich, 85748 Garching, GermanyThe advancement of electric vertical take-off and landing (eVTOL) aircraft has expanded the horizon of urban air mobility. However, the challenge of generating precise vertical take-off and landing (VTOL) trajectories that comply with airworthiness requirements remains. This paper presents an approach for optimizing VTOL trajectories considering six degrees of freedom (6DOF) dynamics and operational constraints. Multi-phase optimal control problems are formulated to address specific constraints in various flight stages. The incremental nonlinear dynamic inversion (INDI) controller is employed to execute the flight mission in each phase. Controlled flight simulations yield dynamically feasible trajectories that serve as initial guesses for generating sub-optimal trajectories within individual phases. A feasible and sub-optimal initial guess for the holistic multi-phase problem is established by concatenating these single-phase trajectories. Focusing on a tilt-wing eVTOL aircraft, this paper computes VTOL trajectories leveraging the proposed initial guess generation procedure. These trajectories account for complex flight dynamics, align with various operation constraints, and minimize electric energy consumption.https://www.mdpi.com/2226-4310/11/1/39multi-phase trajectory optimizationvertical take-off and landinginitial guessincremental nonlinear dynamic inversion |
| spellingShingle | Zhidong Lu Haichao Hong Florian Holzapfel Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses Aerospace multi-phase trajectory optimization vertical take-off and landing initial guess incremental nonlinear dynamic inversion |
| title | Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses |
| title_full | Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses |
| title_fullStr | Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses |
| title_full_unstemmed | Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses |
| title_short | Multi-Phase Vertical Take-Off and Landing Trajectory Optimization with Feasible Initial Guesses |
| title_sort | multi phase vertical take off and landing trajectory optimization with feasible initial guesses |
| topic | multi-phase trajectory optimization vertical take-off and landing initial guess incremental nonlinear dynamic inversion |
| url | https://www.mdpi.com/2226-4310/11/1/39 |
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