An effective algorithm based on disturbed fluid dynamics is presented to address the obstacle avoidance problem of unmanned aerial vehicle (UAV) flying in three-dimensional space. Inspired by the interfered fluid dynamical system, the algorithm proposed a tangential component which is helpful to improve the flight quality of UAV by providing more direction selectivity for obstacle avoidance. Then, the virtual target (VT) method is used to solve the local minimum problem when the UAV flies to the overlapping area of obstacle. Finally, taking into account the great optimization ability and fast convergence speed, a novel search algorithm to discover the best obstacle avoidance settings in current flight environment, sparrow search algorithm (SSA) is utilized. The effectiveness and stability of this algorithm are verified by simulation results.


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    Titel :

    Unmanned Aerial Vehicle Path Planning Based on Disturbed Fluid and Sparrow Search Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jia, Yingmin (Herausgeber:in) / Zhang, Weicun (Herausgeber:in) / Fu, Yongling (Herausgeber:in) / Zhao, Shoujun (Herausgeber:in) / Yang, Jun (Autor:in) / Sun, Zhenbao (Autor:in) / Luo, Yong (Autor:in)

    Kongress:

    Chinese Intelligent Systems Conference ; 2022 October 15, 2022 - October 16, 2022



    Erscheinungsdatum :

    27.09.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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