无人飞行器集群智能调度技术综述

Survey on Intelligent Scheduling Technologies for Unmanned Flying Craft Clusters

随着飞行器技术的快速发展,以无人机和卫星为代表的无人飞行器在集群任务中得到广泛应用,但日益增长的多样化任务需求和不平衡、不充足的任务资源也对无人飞行器集群调度技术提出新的挑战.针对无人飞行器任务类型特点,分别从无人机群和多星两个角度出发,介绍了无人机群访问、打击和察打一体化任务调度技术进展,阐述了多星成像、数传与天地一体化任务调度研究成果.同时,梳理了无人机群和多星任务调度问题的主要约束与收益指标,综述了无人机群和多星任务调度常用的智能优化算法.最后,面向未来无人飞行器技术应用需求,指出了无人飞行器集群智能调度技术进一步的研究方向.

With the rapid development of flying craft technologies,unmanned flying craft,including unmanned aerial vehicles and satellites,have been widely applied.However,the increasing demands for diversified missions,as well as the unbalanced and insufficient resources,put great challenges to intelligent scheduling technologies for unmanned flying craft clusters.Considering the characteristics of unmanned flying craft clusters,this paper classifies the mission scheduling into unmanned aerial vehicles scheduling and multi-satellites scheduling.The research progresses on the visit,the attack and the integrated mission scheduling of unmanned aerial vehicles are introduced,and the advances on the observation,the transmission and the integrated mission scheduling of multi-satellites are illustrated.The major constraints and frequently-used intelligent optimization algorithms applied to the unmanned aerial vehicles and multi-satellites scheduling are also reviewed.Finally,several future research priorities about the intelligent scheduling technologies for unmanned flying craft clusters are proposed.