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基于拓扑相变理论的无人机集群协同控制方法

刘祥 何明 陈启洋 韩伟 郭雪鹏

指挥控制与仿真2026,Vol.48Issue(4):7-16,10.
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指挥控制与仿真2026,Vol.48Issue(4):7-16,10.DOI:10.3969/j.issn.1673-3819.2026.04.002

基于拓扑相变理论的无人机集群协同控制方法

Unmanned aerial vehicle swarm cooperative control method based on topological phase transition theory for regional collaborative search

刘祥 1何明 2陈启洋 1韩伟 1郭雪鹏1

作者信息

  • 1. 陆军工程大学指挥控制工程学院,江苏 南京 210007
  • 2. 陆军工程大学指挥控制工程学院,江苏 南京 210007||近地面探测全国重点实验室,北京 100072
  • 折叠

摘要

Abstract

Aiming at the problems of high energy consumption and weak anti-interference ability caused by insufficient regu-lation accuracy of topological state in UAV swarm cooperative control,a UAV swarm cooperative control method based on to-pological phase transition theory is proposed.First,the topological phase transition theory is mapped to the field of UAV swarm control,and a UAV swarm cooperative control model based on topological phase transition theory is constructed.Sec-ond,a closed-loop control method based on phase transition perception,phase transition judgment,phase transition regula-tion and phase transition feedback is proposed,a strategy for dynamically adjusting the communication radius is designed,and the critical communication radius is determined through random graph theory derivation and simulation.Finally,the fea-sibility of the method is verified by simulation.The results of multiple simulation experiments show that,compared with the UAV swarm phase transition control method based on the self-propulsion mechanism of bird flocks,the anti-interference abil-ity of the proposed method is improved by 40%;compared with the control method based on reinforcement learning,the en-ergy consumption is reduced by 5%,and the computational complexity is significantly reduced.

关键词

无人机集群/拓扑相变/相变控制/拓扑不变量

Key words

Unmanned Aerial Vehicle(UAV)swarm/topological phase transition/phase transition control/topological in-variant

分类

军事科技

引用本文复制引用

刘祥,何明,陈启洋,韩伟,郭雪鹏..基于拓扑相变理论的无人机集群协同控制方法[J].指挥控制与仿真,2026,48(4):7-16,10.

基金项目

国家自然科学基金(62273356) (62273356)

国家人才项目(2022-JCJQ-ZQ-001) (2022-JCJQ-ZQ-001)

国家重点研发计划(2024YFF140140) (2024YFF140140)

指挥控制与仿真

1673-3819

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