无人机集群弹性评估及重构技术研究OA北大核心CSTPCD

Unmanned aircraft vehicle(UAV)swarm is often affected by perturbing factors such as terrain,wind,snow,rain and fog,and anti-aircraft strikes in practical applications,which leads to the decline of swarm performance and mission accomplishment capability.In order to effectively assess and improve the swarm anti-disturbance capability,an in-depth study is carried out in terms of UAV swarm resilience assessment indexes and resilience reconfiguration methods.Firstly,the current research status of UAV swarm resilience assessment indicators is sorted out and analyzed.Secondly,the research on UAV swarm resilience reconstruction methods is summarized in terms of predictive reconstruction and anti-disturbance reconstruction.To address the problems of incomplete assessment indexes and the inability of swarm adaptive reconfiguration under multi-task and multi-disturbance situations,multi-dimensional resilience assessment indexes and UAV swarm phase change reconfiguration methods are proposed respectively,which further take into account the impact of coverage,energy consumption and other factors on swarm performance,realize the adaptive phase change of different types of tasks and disturbance types,and significantly improve the swarm's ability to cope with disturbances.Finally,it concludes and looks forward to the future development trend of UAV swarm elastic reconfiguration.