摘要
鉴于以无人机群和多航天器为代表的航天无人系统的快速发展,以及任务要求的日益多样化和复杂性,在分析空间无人系统智能规划特点的基础上,首先阐述了无人机群聚、编队飞行、编队维护和编队重构等智能航迹规划策略,总结了无人机群任务智能规划的建模和优化方法.然后介绍了多航天器飞行和避碰轨道规划的内容和现状,总结了多航天器集中和分布式任务规划的主要研究成果.最后,对空间无人系统智能规划技术的未来发展提出了一些建议.
In view of the rapid development of space unmanned systems represented by UAV groups and multi-spacecraft,and the increasing diversification and complexity of mission requirements,on the basis of analyzing the characteristics of space unmanned system intelligent planning,firstly,the intelligent flight path planning strategies such as UAV swarm gathering,formation flight,formation maintenance and reconstruction are described,and the modeling and optimization methods of UAV swarm task intelligent planning are summarized.Then the content and current status of multi-spacecraft flight and collision avoidance orbit planning are introduced and the main research results of multi-spacecraft centralized and distributed mission planning are summarized.Finally,the paper puts forward some suggestions on the future development of intelligent planning technology for space unmanned systems.
作者
杜永浩
王凌
邢立宁
Du Yonghao;Wang Ling;Xing Lining(College of Systems Engineering,National University of Defense Technology,Changsha 410072,China;Department of Automation,Tsinghua University,Beijing 100084,China)
出处
《系统工程学报》
CSCD
北大核心
2020年第3期416-432,共17页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(61773120,61525304,71690233,71331008,U1501254,61472089)
高等学校全国优秀博士学位论文作者专项资金资助项目(2014-92)
湖南省杰出青年基金资助项目(S2015J5050)
深圳市科技计划基础研究资助项目(JCYJ20160530141956915)
广东省科技计划资助项目(2015B010131015,2015B010108006).
关键词
空天
无人系统
航迹规划
任务规划
智能规划
aerospace
unmanned system
flight path planning
task planning
intelligent planning
