首页 | 本学科首页   官方微博 | 高级检索  
     检索      

飞行器集群协同制导控制方法及应用研究
引用本文:任章,郭栋,董希旺,李清东.飞行器集群协同制导控制方法及应用研究[J].导航定位于授时,2019,6(5):1-9.
作者姓名:任章  郭栋  董希旺  李清东
作者单位:北京航空航天大学自动化科学与电气工程学院,北京100083;北京航空航天大学飞行器控制一体化技术国防科技重点实验室,北京100191;北京航空航天大学大数据科学与脑机智能高精尖创新中心,北京100191;北京航空航天大学自动化科学与电气工程学院,北京100083;北京航空航天大学飞行器控制一体化技术国防科技重点实验室,北京100191
基金项目:国家自然科学基金(61873011, 61803008,61803014)
摘    要:分析了目前多飞行器协同作战的发展现状与趋势,指出了多飞行器以编队形式进行协调与配合,可以有效提高突防概率与作战效能。针对飞行器集群协同制导控制技术,分析梳理了相关的技术难点。然后,分别对协同任务规划与动态目标分配方法和多飞行器编队协同控制方法、多约束条件下的分布式协同制导方法的国内外研究现状进行了介绍。最后对飞行器集群协同制导控制技术进行了总结,并对未来的发展方向进行了展望。

关 键 词:协同制导  协同控制  多飞行器编队  编队控制  集群智能

Research on the Cooperative Guidance and Control Method and Application for Aerial Vehicle Swarm Systems
REN Zhang,GUO Dong,DONG Xi-wang and LI Qing-dong.Research on the Cooperative Guidance and Control Method and Application for Aerial Vehicle Swarm Systems[J].Navigation Positioning & Timing,2019,6(5):1-9.
Authors:REN Zhang  GUO Dong  DONG Xi-wang and LI Qing-dong
Institution:School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China,School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China,School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China;Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China and School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, China
Abstract:The current situation and development trend for cooperative operation of multiple aerial vehicles are analyzed, and it is pointed out that the penetration probability and the combat effectiveness can be effectively improved through coordination and cooperation of multiple aircraft in formation. In view of the cooperative guidance and control technology of multiple aerial vehicles cluster, the related technical difficulties are analyzed and combed. Then, the research status of cooperative task allocation and dynamic weapon-target assignment methods, cooperative formation control methods, distributed cooperative guidance methods with multiple constraints are introdu-ced respectively. Finally, the cooperative guidance and control technology of aerial vehicle swarm systems is summarized, and the future development direction is prospected.
Keywords:Cooperative guidance  Cooperative control  Multiple aircraft formation  Formation control  Swarm intelligence
本文献已被 万方数据 等数据库收录!
点击此处可从《导航定位于授时》浏览原始摘要信息
点击此处可从《导航定位于授时》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号