This paper studies the problem of maneuver decision-making for multi-aircraft air combat. First, considering pertinent air combat scenarios, the aircraft model and the air combat attack zone are established. Then, the Attention Mechanism (AM) is introduced to improve the convergence speed of the Proximal Policy Optimization (PPO) algorithm. Moreover, we design a maneuver decision-making model for multi-aircraft air combat based on the proposed AM-PPO algorithm. Finally, through 3v3 air combat simulation experiments, this paper validates the AM-PPO algorithm against the classical PPO algorithm in terms of convergence speed and stability. The simulation results further illustrate that the proposed algorithm can effectively control the aircraft to execute strategic maneuvers against opponents while avoiding friendly aircraft.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Maneuver Decision Making for Multi-aircraft Air Combat Based on Reinforcement Learning with Attention Mechanism


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Deng, Yimin (Herausgeber:in) / Li, Peida (Autor:in) / Li, Xiaoduo (Autor:in) / Han, Liang (Autor:in)

    Kongress:

    International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024



    Erscheinungsdatum :

    02.03.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    UAVs Maneuver Decision-Making Method Based on Transfer Reinforcement Learning

    Jindong Zhu / Xiaowei Fu / Zhe Qiao | DOAJ | 2022

    Freier Zugriff

    Autonomous Maneuver Decision of UAV in Air Combat Based on Scenario-Transfer Deep Reinforcement Learning

    Jin, Quan / Gao, Xianzhong / Guo, Zheng et al. | British Library Conference Proceedings | 2022


    Autonomous Maneuver Decision of UAV in Air Combat Based on Scenario-Transfer Deep Reinforcement Learning

    Jin, Quan / Gao, Xianzhong / Guo, Zheng et al. | Springer Verlag | 2022