基于蜂群测控资源智能管控的无人机区域组网技术研究  

Research on Area Networking Technology of UAV Base on Intelligent Control of Bee Colony Measurement and Control Resources

作　　者：贺渝兵 曾国奇 宗茂 孙志刚[1] HE Yubing;ZENG Guoqi;ZONG Mao;SUN Zhigang(The 54th Research Institute of CETC, Shijiazhuang 050081, China;UAV Research Academy, Beihang University, Beijing 100191, China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081 [2]北京航空航天大学无人系统研究院,北京100191

出　　处：《无线电工程》2020年第11期932-938,共7页Radio Engineering

基　　金：科技部重大项目(2017YFB0503003)。

摘　　要：针对高频次迅捷无人机区域组网遥感应用系统采用无中心化、自主化和自治化蜂群测控系统的应用需求,解决目前国内有中心、地面组网应用测控系统中飞行任务预规划算法无法满足蜂群遥感组网的实时性需求,设计了原型验证系统,研究智能感知当前协同飞行任务分配情况,研究协同任务角色分工、节点动态多址接入、网络资源动态调整的多智能体技术,实现测控资源的动态智能管控,解决海量节点组网中的资源分配问题,为面向任务的蜂群测控资源智能管控技术研究奠定基础。Aiming at the application requirements of the remote sensing application system of high frequency and fast UAV area network,which adopts the centreless autonomous and autonomous measurement and control system,it solves the problem that the flight task pre-planning algorithm in the measurement and control system of central and ground network application in China cannot meet the real-time requirements of the Bee Colony remote sensing network,we design prototype verification system,the research of intelligent perception of current collaborative flight task allocation situation,research collaborative task roles,node dynamic multiple access,network resource dynamic adjustment of multi-agent technology,to implement the dynamic intelligent control of measurement and control resources,solve the problem of mass of the nodes in the network resource allocation,lay a foundation for the research of task-oriented intelligent control technology of bee colony measurement and control resources.

关 键 词：高频次迅捷区域组网 蜂群规划与控制 原型系统 

分 类 号：V279[航空宇航科学与技术—飞行器设计]