摘要
针对在融合空域内,面临复杂障碍物时无人机飞行冲突解脱和航迹恢复问题,在速度障碍法的基础上提出了一种几何优化方法,并对这个问题进行了严格的数学描述。首先,根据无人机与障碍物之间的相对位置和速度关系,基于航迹预推模型确定其冲突类型,以及是否满足各解脱策略的条件。然后,选取相应的解脱策略。待冲突解脱完成后,无人机恢复至原飞行航线。之后,通过几何分析与理论推导证明该模型能够有效解决飞行冲突,并且给出了具体的冲突解脱和航迹恢复的时间。最后,在仿真中,所提方法根据不同场景自主选择冲突解脱策略,结果显示该方法简单高效。
Aiming at the problem of flight conflict resolution and track recovery of unmanned aerial vehicle(UAV)with complex obstacles in the fusion airspace,a geometric optimization method based on the velocity obstacle method is proposed,and the problem is described in strict mathematics.Firstly,according to the relative position and speed relationship between the UAV and the obstacle,the conflict type is determined based on the track pre-propelling model,and whether the conditions of each resolution strategy are met is also determined.Secondly,the corresponding resolution strategy is selected.After the resolution of the conflict is completed,the UAV will resume the original flight path.Then,geometric analysis and theoretical derivation prove that the model can effectively solve the flight conflict,and give the specific time of conflict resolution and track recovery.Finally,in the simulation,the proposed method chooses the conflict resolution strategy autonomously according to different scenaries,which shows that this method is simple and efficient.
作者
张宏宏
甘旭升
李昂
高志强
徐鑫宇
ZHANG Honghong;GAN Xusheng;LI Ang;GAO Zhiqiang;XU Xinyu(Air Traffic Control and Navigation College,Air Force Engineering University,Xi’an 710051,China;National Key Laboratory of Air Traffic Collision Prevention,Xi’an 710051,China;Department of Basic Sciences,Air Force Engineering University,Xi’an 710051,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2020年第8期1759-1767,共9页
Systems Engineering and Electronics
基金
国家自然科学基金(61601497)资助课题。
关键词
速度障碍
冲突探测
冲突解脱
航迹恢复
几何优化算法
speed obstacle
conflict detection
conflict resolution
track recovery
geometric optimization algorithm