系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (10): 3536-3546.doi: 10.12305/j.issn.1001-506X.2024.10.30

• 制导、导航与控制 • 上一篇    

基于通信功率自适应的无人机集群协同导航控制方法

刘兴宇1, 蒋志彪1, 蒋天瑞1, 郭荣化1,*, 常远2, 闫超3, 周晗4   

  1. 1. 中国人民解放军32399部队, 江苏 南京 210046
    2. 军事科学院, 北京 100091
    3. 南京航空航天大学自动化学院, 江苏 南京 211106
    4. 国防科技大学智能科学学院, 湖南 长沙 410073
  • 收稿日期:2023-08-07 出版日期:2024-09-25 发布日期:2024-10-22
  • 通讯作者: 郭荣化
  • 作者简介:刘兴宇(1997—), 男, 助理工程师, 硕士, 主要研究方向为无人机集群控制及试验总体
    蒋志彪(1988—), 男, 工程师, 博士, 主要研究方向为无人装备试验总体设计
    蒋天瑞(1996—), 男, 助理工程师, 硕士, 主要研究方向为无人装备试验总体设计
    郭荣化(1979—), 男, 正高级工程师, 硕士, 主要研究方向为无人装备试验总体
    常远(1993—), 男, 助理研究员, 博士, 主要研究方向为智能控制
    闫超(1995—), 男, 副研究员, 博士, 主要研究方向为无人机集群控制
    周晗(1986—), 女, 副教授, 博士, 主要研究方向为无人系统协同控制

Cooperative navigation control method for UAV swarm based on communication power adaptation

Xingyu LIU1, Zhibiao JIANG1, Tianrui JIANG1, Ronghua GUO1,*, Yuan CHANG2, Chao YAN3, Han ZHOU4   

  1. 1. Unit 32399 of the PLA, Nanjing 210046, China
    2. Academy of Military Sciences, Beijing 100091, China
    3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    4. College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Received:2023-08-07 Online:2024-09-25 Published:2024-10-22
  • Contact: Ronghua GUO

摘要:

分群现象是无人机集群在运动过程中出现的不利情形, 部分无人机形成小簇, 脱离群体。特别是在电磁环境复杂、通信资源紧张的通信受限情形下, 集群无人机无法获取、利用周围所有邻居信息, 发生分群现象的概率增大, 严重影响任务的正常执行, 为此设计了一种基于通信功率自适应的无人机集群协同导航控制方法。控制方法一是包括交互对象选择机制, 确保唯一领导者的影响力可以迅速传递至整个集群, 二是包括传输半径控制机制, 可以基于模糊控制方法实现, 自适应地调整集群无人机的通信功率。仿真实验结果表明, 所提控制方法一方面可以增强集群鲁棒性, 避免分群现象发生, 实现通信受限情形下的仅单架领导者存在的大规模集群导航; 另一方面可以降低无人机集群的整体能量消耗, 控制无人机集群的任务成本。

关键词: 无人机集群, 通信功率自适应, 分群现象, 协同控制方法

Abstract:

The phenomenon of clustering represents an adverse condition arising during unmanned aerial vehicle swarm movement, where certain unmanned aerial vehicle form small clusters, disassociating from the swarm. This is particularly evident in complex electromagnetic environments and under communication-constrained scenarios where communication resources are scarce. In such cases, the swarm unmanned aerial vehicle is unable to acquire and exploit information from all nearby entities, thus elevating the likelihood of clustering, which severely impedes the normal execution of tasks. As a countermeasure, a cooperative navigation control method based on communication power adaptability for unmanned aerial vehicle swarms is developed. This control method incorporates an interaction object selection mechanism, ensuring that the influence of the sole leader can be rapidly disseminated throughout the swarm, and a transmission radius control mechanism. The unmanned aerial vehicle swarm, based on a fuzzy controller, can adaptively adjust the communication power. Simulation experiment result demonstrates that this control method not only enhances the robustness of the swarm, preventing clustering, and facilitates large-scale swarm navigation with a single leader under limited interaction scenarios, but also reduces the overall energy consumption of the unmanned aerial vehicle swarm, thereby controlling the task cost of the unmanned aerial vehicle swarm.

Key words: unmanned aerial vehicle swarm, communication power adaptation, clustering phenomenon, cooperative control method

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