Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Research on Air Conflict Detection and Collision Avoidance of UAV
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Air Traffic Management College,Civil Aviation Flight University of China

Clc Number:

V279

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    Abstract:

    With the gradual opening of China"s low-altitude airspace, UAVs are increasingly used in various fields. Facing the rapid growth of flight flow, there is an urgent need to improve the safety of UAV operations, the key of which is to solve the problem of collision avoidance and early warning in UAV flights. In this paper, we establish a reasonable spatial model around the UAV, determines the conflict detection algorithm based on the longitude, latitude and altitude information of the UAV provided by the ADS-B message, screens the UAVs with conflicts in the horizontal and vertical directions, and selects the avoidance strategy of adjusting speed and heading. Through Matlab simulation experiments, the results show that the algorithm can effectively screen out conflicting UAVs and can perform three-level avoidance for them, which provides an effective guarantee for the flight safety of UAVs.

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YANG Shu, WANG Yihua. Research on Air Conflict Detection and Collision Avoidance of UAV[J]. Advances in Aeronautical Science and Engineering,2022,13(6):50-58

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History
  • Received:October 24,2021
  • Revised:March 17,2022
  • Adopted:March 22,2022
  • Online: August 28,2022
  • Published: