China Safety Science Journal ›› 2020, Vol. 30 ›› Issue (4): 80-85.doi: 10.16265/j.cnki.issn1003-3033.2020.04.013

• Public safety • Previous Articles     Next Articles

Research on flight conflict prediction method for non-cooperative large unmanned aerial vehicles

GAO Yang, WU Wentao, JIA Xiaoshan, XU Minghe   

  1. College of Flight Technology, Civil Aviation University of China, Tianjin 300300, China
  • Received:2020-01-16 Revised:2020-03-26 Online:2020-04-28 Published:2021-01-27

Abstract: In order to reduce risk of collision between non-cooperative large UAVs, firstly, in light of analysis on their operation mode, predication mechanism and procedure of flight conflict based on UAVs operation and management platform were proposed. Secondly, a conflict prediction model building on UAVs flight state data was proposed, which predicted conflicts in both horizontal and vertical directions and determined whether there would be a conflict. And then warning threshold was analyzed to prevent too late reception of alarm information by UAVs ground station. Finally, real-time flight status data of 3 UAVs were used to analyze and verify the model. The results show that the proposed mechanism and program can realize prediction and early warning between non-cooperative large UAVs, and the prediction model can accurately determine whether there is a flight conflict as well as calculate when it will happen.

Key words: non-cooperative large unmanned aerial vehicles (UAVs), operational mode, collision risk, conflict prediction, alarm threshold

CLC Number: