A key problem in the fixed-wing UAVs control with constraints is the time consumption of objective function optimization. In this paper, considering multiple constraints, an improved model predictive control algorithm for the path planning problem of fixed-wing UAVs is proposed to reduce the computer storage requirements and enhance the calculation efficiency. The improved MPC and the inner loop controller are combined in Matlab and Simulink for verification, which shows that our method has a faster convergence of the fixed-wing UAVs positions into a desired formation.


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    Titel :

    Path Planning Based on Improved MPC for Fixed Wing UAVs with Collision Avoidance


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Su, Meimei (Autor:in) / Liu, Huixia (Autor:in) / Hu, Jinwen (Autor:in) / Zhao, Chunhui (Autor:in) / Hou, Xiaolei (Autor:in) / Pan, Quan (Autor:in) / Jia, Caijuan (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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