The Design of the Flight Corridor for the Terminal Area Energy Management Phase of Gliding Hypersonic Unmanned Aerial Vehicles
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| Publicado no: | Symmetry vol. 17, no. 1 (2025), p. 72 |
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| Autor principal: | |
| Outros Autores: | , , |
| Publicado em: |
MDPI AG
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| Acesso em linha: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 100 | 1 | |a Wang, Jingang |u College of Aerospace Engineering, Shenyang Aerospace University, Shenyang 110000, China; <email>wddaqjjxs@126.com</email> (J.W.); <email>20180003@sau.edu.cn</email> (C.C.) | |
| 245 | 1 | |a The Design of the Flight Corridor for the Terminal Area Energy Management Phase of Gliding Hypersonic Unmanned Aerial Vehicles | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This paper introduces an innovative approach to optimizing flight corridors under complex constraints, particularly focusing on the Terminal Area Energy Management (TAEM) phases of reusable vehicles, where nominal trajectories may be inadequate due to initial condition and aerodynamic deviations. Leveraging the elegant principles of symmetry, the proposed optimal flight corridor design method, based on the Lagrange multiplier technique, offers a harmonious balance between trajectory accuracy and adaptability. By describing the TAEM flight corridor through a range–altitude profile and utilizing iterative optimization to uphold physical constraints such as dynamic pressure, overload, and roll angle, this method ensures symmetrical alignment of the design parameters. Through a comprehensive analysis of aerodynamic and initial position uncertainties, this method showcases exceptional symmetry in adapting to trajectory design uncertainties. The simulation results demonstrate the resilient nature of the designed flight corridor, capable of seamlessly accommodating initial state deviations and aerodynamic uncertainties. This symmetrical optimization of flight corridors not only enhances trajectory planning and control capabilities during the terminal energy management phase, but also showcases a paradigm shift towards precision and balance in aerospace engineering. Our simulation findings underscore the efficiency of this approach by reducing the flight corridor range by 50% compared to the nominal state while maintaining robustness across deviation conditions, embodying the symmetrical resilience needed for optimal trajectory design. | |
| 653 | |a Energy management | ||
| 653 | |a Accuracy | ||
| 653 | |a Adaptability | ||
| 653 | |a Optimization techniques | ||
| 653 | |a Altitude | ||
| 653 | |a Dynamic pressure | ||
| 653 | |a Uncertainty analysis | ||
| 653 | |a Parameter uncertainty | ||
| 653 | |a Symmetry | ||
| 653 | |a Vehicles | ||
| 653 | |a Terminal area energy management | ||
| 653 | |a Velocity | ||
| 653 | |a Robust control | ||
| 653 | |a Control algorithms | ||
| 653 | |a Flight corridors | ||
| 653 | |a Trajectory optimization | ||
| 653 | |a Lagrange multiplier | ||
| 653 | |a Resilience | ||
| 653 | |a Unmanned aerial vehicles | ||
| 653 | |a Aerospace engineering | ||
| 653 | |a Deviation | ||
| 653 | |a Design | ||
| 653 | |a Methods | ||
| 653 | |a Design optimization | ||
| 653 | |a Design parameters | ||
| 653 | |a Constraints | ||
| 653 | |a Trajectory planning | ||
| 700 | 1 | |a Shao, Yichong |u College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210000, China; <email>shaoyichong@nuaa.edu.cn</email> | |
| 700 | 1 | |a Chen, Cheng |u College of Aerospace Engineering, Shenyang Aerospace University, Shenyang 110000, China; <email>wddaqjjxs@126.com</email> (J.W.); <email>20180003@sau.edu.cn</email> (C.C.) | |
| 700 | 1 | |a Wang, Zian |u College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210000, China; <email>shaoyichong@nuaa.edu.cn</email> | |
| 773 | 0 | |t Symmetry |g vol. 17, no. 1 (2025), p. 72 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3159552823/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3159552823/fulltextwithgraphics/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3159552823/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |