江苏省科技期刊可视化阅读平台

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江苏科技信息 ›› 2019, Vol. 36 ›› Issue (8): 50-54.doi: 10.1004-7530/2019-36-8-50

• 应用技术 • 上一篇    下一篇

基于蚁群搜捕行为的多无人机协同体系结构探究

韦新宇1,郑源2   

  1. 1. 广西警察学院,广西 南宁 530023
    2. 广西壮族自治区公安厅交通警察总队,广西 南宁 530023
  • 出版日期:2019-03-20 发布日期:2019-07-09
  • 作者简介:韦新宇（1981— ）,男,广西南宁人,助理工程师,硕士;研究方向：无人机警务应用。
  • 基金资助:
    2015年广西科学研究与技术开发计划项目,项目名称：应用警用图像大数据开展反恐涉毒预警预测技术开发与示范(桂科攻1598017-3)

Research on multi-UAV cooperative architecture based on ant colony

Xinyu Wei1,Yuan Zheng2   

  1. 1. Guangxi Police College, Nanning 530023, China
    2. Traffic Police General Unit of Public Security Bureau of Guangxi Zhuang Autonomous Region, Nanning 530023, China
  • Online:2019-03-20 Published:2019-07-09

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摘要：

随着无人机的应用逐渐广泛,在复杂多变的飞行环境下,单个无人机执行侦察等任务时,面临侦查角度和范围等诸多方面的限制,单个无人机圆满完成任务的难度越来越大,制约了效能的发挥,多无人机协同作战技术正是顺应这一历史潮流诞生和发展的。蚁群在其搜捕行动中能够对原本一无所知的环境进行探索,以发现存在于环境中的食物源 [1],通过蚁群的大规模集群协作搜索,以实现对大范围觅食空间的覆盖,基于蚁群的集群协作工作方式,可以建立多Agent无人机协同体系结构。文章对基于蚁群搜捕行为的多无人机协同体系结构进行了探究。

关键词: 多无人机, 协同作战, 集群协作

Abstract:

With the wide application of unmanned aerial vehicles, in the complex and changeable flight environment, the single UAV is faced with many limitations such as the angle and scope of investigation, when carrying out reconnaissance tasks, and so on. It is more and more difficult for a single UAV to complete its task successfully, which restricts its effectiveness. Multi-UAV cooperative combat technology is in line with the birth and development of this historical trend. Ant colonies are able to explore environments in which they do not know anything in order to discover food sources that exist in the environment [1] and to cover large-scale foraging spaces through a large-scale cluster collaborative search of ant colonies. Cluster collaboration based on Ant Colony In this way, a multi-agent UAV collaborative architecture can be established. In this paper, a multi-UAV collaborative architecture based on ant colony search behavior is explored.

Key words: multi-UAVs, cooperative operations, cluster collaboration

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