This paper presents a novel trajectory planning algorithm for quadrotors landing on aerial vehicle carriers (AVCs). The algorithm involves a quadrotor trajectory planning method based on the lossless convexification (LC) theory and a sequential convex programming (SCP) method enabling quadrotors to autonomously land on both static and moving AVCs in a three-dimensional space. By incorporating landing cone constraints, the safety of the quadrotor during landing is ensured. The LC method transforms the original nonconvex optimal control problem (OCP) into a convex optimization problem, enabling the efficient computation of a 3-degree-of-freedom (3-DoF) safe landing trajectory. The designed SCP algorithm utilizes the 3-DoF trajectory as an initial guess and iteratively solves convex subproblems to obtain a safe, agile, and accurate landing trajectory for the complete 6-DoF quadrotor dynamics. Real-world experiments validate the effectiveness and real-time performance of the proposed method.


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    Titel :

    Convex Optimization-Based Trajectory Planning for Quadrotors Landing on Aerial Vehicle Carriers


    Beteiligte:
    Shen, Zhipeng (Autor:in) / Zhou, Guanzhong (Autor:in) / Huang, Hailong (Autor:in) / Huang, Chao (Autor:in) / Wang, Yutong (Autor:in) / Wang, Fei-Yue (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2024-01-01


    Format / Umfang :

    2640685 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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