For the complex low-altitude flight mission of fixed-wing aircrafts, this paper proposes a terrain-based trajectory generation method based on hierarchical planning framework. The sampling-based path planning algorithm, rapidly-exploring random tree (RRT*), is modified to search collision-free low-altitude path according to the terrain information. Since the generated path by RRT is not dynamically feasible, the subsequent trajectory optimization step is introduced to refine the non-smooth path. In this step, an advanced numerical optimization method is used to achieve spatial optimization subject to the flight performance of fixed-wing aircrafts, which can improve the trajectory smoothness and dynamic feasibility effectively. Numerical simulations on complex terrains are conducted, and the results validate the effectiveness and efficiency of the proposed method.


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    Titel :

    Terrain-Based Hierarchical Trajectory Planning for Low-Altitude Flight of Fixed-Wing Aircrafts


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jiang, Guo-Ping (Herausgeber:in) / Wang, Mengyi (Herausgeber:in) / Ren, Zhang (Herausgeber:in) / Zhong, Yuhang (Autor:in) / Han, Zhichao (Autor:in) / Peng, Yiyang (Autor:in) / Zhao, Changchun (Autor:in) / Xu, Guangtong (Autor:in) / Xu, Chao (Autor:in) / Gao, Fei (Autor:in)

    Kongress:

    Chinese Conference on Swarm Intelligence and Cooperative Control ; 2023 ; Nanjing, China November 24, 2023 - November 27, 2023



    Erscheinungsdatum :

    12.07.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch