This paper proposes a cooperative attack algorithm for unmanned aerial vehicle swarm system that considers flight time and attack angle constraints. Firstly, a dynamic and kinematic model of the unmanned aerial vehicle swarm system was established, and a description of the problem of spatiotemporal cooperative attack was provided. Secondly, a strategy of virtual guidance points guiding unmanned aerial vehicle swarm system was proposed, and a cooperative attack trajectory with spatiotemporal constraints was obtained through the artificial potential field method. Thirdly, the model predictive control method was used to achieve real-time solution of the optimal control quantity, completing the cooperative attack task with spatiotemporal constraints. Finally, the real-time performance and effectiveness of the algorithm were verified through numerical simulations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Cooperative Attack Algorithm for UAV Swarm System Under Spatiotemporal Constraints


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jiang, Guo-Ping (editor) / Wang, Mengyi (editor) / Ren, Zhang (editor) / Zhou, Zhiyan (author) / Yu, Jianglong (author) / Li, Qingdong (author) / Jiang, Hong (author)

    Conference:

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



    Publication date :

    2024-07-12


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English







    Segmented guidance method for multi-UAVs cooperative attack with spatio-temporal constraints

    Wang, Yujie / Tang, Zhongnan / Xin, Hongbo et al. | SAGE Publications | 2024


    Research on Time-Coordinated Strategy for UAV Swarm Cooperative Attack on Multiple Ground-Moving Targets

    Yan, Zihui / Liang, Xiaolong / Hou, Yueqi et al. | Springer Verlag | 2025