系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (8): 2739-2752.doi: 10.12305/j.issn.1001-506X.2026.08.20

• 系统工程 • 上一篇    

基于元模型的无人机蜂群指控体系建模与抗毁性分析方法

赵子俊1, 陈士涛1,2, 胡钢1, 王文飞1   

  1. 1. 空军工程大学装备管理与无人机工程学院,陕西 西安 710051
    2. 无人飞行器技术全国重点实验室,陕西 西安 710051
  • 收稿日期:2025-03-12 修回日期:2025-05-31 出版日期:2026-03-16 发布日期:2026-03-16
  • 通讯作者: 陈士涛
  • 基金资助:
    国家自然科学基金(72203166)资助课题

Meta-model-based modeling and resilience analysis method for drone swarm command and control system

Zijun ZHAO1, Shitao CHEN1,2, Gang HU1, Wenfei WANG1   

  1. 1. Equipment Management and UAV Engineering School,Air Force Engineering University,Xi’an 710051,China
    2. National Key Laboratory of Unmanned Aerial Vehicle Technology,Xi’an 710051,China
  • Received:2025-03-12 Revised:2025-05-31 Online:2026-03-16 Published:2026-03-16
  • Contact: Shitao CHEN

摘要:

针对无人机蜂群指控体系复杂、现有框架适用性差、验证不足等问题,提出基于元模型的无人机蜂群指控体系建模与抗毁性分析方法。首先,构建无人机蜂群指控体系元模型,基于元模型从全局视角、作战视角和系统视角对“主控节点-子群”指控体系建模。然后,为了验证指控体系抗毁性,将体系模型建模为指控网络,基于复杂网络理论从通信能力和作战能力角度提出体系抗毁性综合分析方法。最后,对想定案例进行分析,结果表明所提指控体系抗毁性较好,验证了所提无人机蜂群指控体系建模和抗毁性分析方法的有效性。所提方法可为无人机蜂群指控体系建模提供框架指导和验证支持。

关键词: 蜂群指控体系, 元模型, 指控网络, 复杂网络, 抗毁性分析

Abstract:

Aiming at the problems of complexity, poor applicability of existing frameworks, and insufficient verification in the drone swarm command and control (C2) system, a drone swarm C2 system modeling and resistance analysis method is proposed based on the meta-model. Firstly, the meta-model of the drone swarm C2 system is constructed, and the “master node-subgroup” C2 system is modeled from the global view, operational view and system view based on the meta-model. Then, to verify the system’s resilience, the system model is modeling into the C2 network model, and a comprehensive resilience assessment method is proposed from the perspectives of communication and operational capabilities using complex network theory. Finally, the hypothetical case is analyzed, and the results show that the proposed C2 system is better in terms of resistance, which verifies the effectiveness of the drone swarm C2 system modeling and resistance analysis method. The proposed method can provide framework guidance and validation support for drone swarm C2 system modeling.

Key words: drone swarm command and control (C2) system, meta-model, C2 network, complex network, resilience analysis

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