系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (9): 2971-2978.doi: 10.12305/j.issn.1001-506X.2023.09.38

• 可靠性 • 上一篇    下一篇

无人机集群对地作战任务可靠性评估

齐小刚1, 周雨桐1,*, 刘立芳2   

  1. 1. 西安电子科技大学数学与统计学院, 陕西 西安 710071
    2. 西安电子科技大学计算机科学与技术学院, 陕西 西安 710071
  • 收稿日期:2022-11-30 出版日期:2023-08-30 发布日期:2023-09-05
  • 通讯作者: 周雨桐
  • 作者简介:齐小刚 (1973—), 男, 教授, 博士, 主要研究方向为系统建模与故障诊断
    周雨桐 (1998—), 女, 硕士研究生, 主要研究方向为复杂系统可靠性
    刘立芳 (1972—), 女, 教授, 博士, 主要研究方向为数据处理与智能计算
  • 基金资助:
    技术基础项目(212ZQT42004)

Evaluation of the reliability of UAV swarm for ground combat missions

Xiaogang QI1, Yutong ZHOU1,*, Lifang LIU2   

  1. 1. School of Mathematics and Statistics, Xidian University, Xi'an 710071, China
    2. School of Computer Science and Technology, Xidian University, Xi'an 710071, China
  • Received:2022-11-30 Online:2023-08-30 Published:2023-09-05
  • Contact: Yutong ZHOU

摘要:

针对无人机(unmanned aerial vehicle, UAV)集群执行对地攻击任务可靠性评估问题, 考虑实际作战环境和任务规划, 建立了一种适用于具体任务过程的可靠性评估方法。首先, 建立了UAV集群作战的时态异构网络模型, 用时态打击链模拟UAV集群任务规划和协同作战过程。然后, 基于连续时间马尔可夫链(continuous-time Markov chain, CTMC)建立了UAV集群在威胁区域飞行的生存概率模型。进而, 综合UAV集群的作战能力和生存概率, 提出了任务可靠性评估方法。最后, 通过实例分析, 验证了该模型的实用性和合理性。该模型考虑到各方面影响战果的因素, 贴合实际, 为UAV集群任务可靠性评估和决策提供了参考。

关键词: 无人机集群, 对地作战, 任务可靠性, 时态异构作战网络, 马尔可夫生存概率

Abstract:

Aiming at the reliability assessment problem of unmanned aerial vehicle (UAV) swarm ground attack mission, considering the actual combat environment and mission planning, a reliability evaluation method suitable for specific mission scenarios is established. Firstly, a temporal heterogeneous network model of UAV swarm operation is established, and the mission planning and collaborative operation process of UAV swarm are simulated by temporal strike chain. Then, based on the continuous-time Markov chain (CTMC), a survival probability model of UAV swarm flying in the threat area is established. Furthermore, based on the combat capability and survival probability of UAV swarm, a mission reliability evaluation method is proposed. Finally, through case analysis, the practicability and rationality of the model are verified. The model takes into account the factors affecting the results of the battle is realistic, and provides a reference for UAV swarm mission reliability evaluation and decision-making.

Key words: unmanned aerial vehicle (UAV) swarm, ground operations, mission reliability, temporal heterogeneous combat networks, Markov survival probability

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