Research on Air Conflict Detection and Collision Avoidance of UAV

In recent years,with the rapid development of UAV transportation industry,the problem of conflict detection and collision avoidance during its flight has become a key problem to be solved.A reasonable three-dimensional spatial model is established around the UAV,a three-level collision avoidance area system including emergency collision avoidance area,general collision avoidance area,surveillance and advance collision avoidance area is optimized,and the information such as UAV position and speed provided by ADS-B(automatic dependent surveillance-broadcast)messages is used,based on the general two-dimensional plane of UAV conflict detection and collision avoidance algorithm,and the conflict detection algorithm is improved by adding conflict recognition in the vertical direction,and the success rates of the two avoidance schemes,speed and direction,are compared in each collision avoidance region.The results show that the algorithm can effectively identify conflicting UAVs when the number of UAVs increases significantly,while the success rate of collision avoidance using the speed-then-direction avoidance strategy reaches 99.75%,providing an effective strategy for ensuring the flight safety of UAVs.