系统仿真学报 ›› 2022, Vol. 34 ›› Issue (8): 1820-1833.doi: 10.16182/j.issn1004731x.joss.21-0200

• 仿真建模理论与方法 • 上一篇    下一篇

无人机集群自组织搜索仿真模型设计与实现

李坎(), 李云鹏, 赵江波   

  1. 陆军步兵学院 石家庄校区,河北 石家庄 050227
  • 收稿日期:2021-03-12 修回日期:2021-05-06 出版日期:2022-08-30 发布日期:2022-08-15
  • 作者简介:李坎(1988-),男,硕士生,研究方向为无人机集群作战应用。E-mail:muzituqian@sina.com

Design and Implementation of UAV Swarm Self-organizing Search Model

Kan Li(), Yunpeng Li, Jiangbo Zhao   

  1. Shijiazhuang Division of PLAA Infanty College, Shijiazhuang 050227, China
  • Received:2021-03-12 Revised:2021-05-06 Online:2022-08-30 Published:2022-08-15

摘要:

城市威胁背景下无人机集群自组织搜索移动目标问题,是无人机集群作战应用的一个重要发展方向。采用基于Agent的复杂系统建模仿真工具,构建了无人机集群搜索仿真模型框架,设计实现了无人机集群自组织搜索模型。在考虑无人机集群作战可能受到威胁的背景下,展示了无人机集群自组织搜索概念,探索了使用基于概率的有限状态机模型实现集群自主决策的解决方案,并通过案例进行了分析验证。该仿真模型为无人机集群作战应用研究提供了参考案例、模型支撑和实验平台。

关键词: 无人机集群, 自组织, 搜索, 威胁环境, 仿真, 有限状态机

Abstract:

The UAV swarm self-organizing search for moving target under the urban threat is an important implement of UAV swarm. Though Agent-based complex system modeling and simulation tools, the framework of UAV swarm search simulation model is constructed, and the self-organizing search model of UAV swarm is designed. Under the possible threats to the operational use of UAVs, the concept of self-organizing search for UAV swarm is preliminarily realized and demonstrated, and the solution of autonomous decision making for UAV swarm based on the probability-based finite state machine model is explored, which is analyzed and verified by a case. The simulation model of UAV swarm self-organizing search provides a reference case, model support and test platform for UAV swarm operation application research.

Key words: UAV swarm, self-organization, search, threat environment, simulation, probabilistic finite-state machines(PFSMs)

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