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

Gao Yang, Wu Wentao, J. Xiaoshan, XU Minghe
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Abstract

In order to reduce risk of collision between non ̄cooperative large UAVsꎬ firstlyꎬ in light of analysis on their operation modeꎬ predication mechanism and procedure of flight conflict based on UAVs operation and management platform were proposed. Secondlyꎬ a conflict prediction model building on UAVs flight state data was proposedꎬ 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. Finallyꎬ 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 UAVsꎬ and the prediction model can accurately determine whether there is a flight conflict as well as calculate when it will happen.
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非合作大型无人机飞行冲突预测方法研究
为了降低非合作大型无人机之间的碰撞风险ꎬ首先ꎬ在分析无人机运行模式ꎬ的基础上,提出了基于无人机运行管理平台的飞行冲突预测机制和流程。其次ꎬ提出了一种基于无人机飞行状态数据的冲突预测模型ꎬ,该模型对水平方向和垂直方向的冲突进行预测,判断是否会发生冲突。然后分析预警阈值,防止无人机地面站接收报警信息过晚。最后利用ꎬ3架无人机实时飞行状态数据对模型进行分析验证。结果表明,所提出的机制和程序可以实现大型无人机之间的非合作预测预警ꎬ,预测模型可以准确判断是否存在飞行冲突,并计算出发生冲突的时间。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
8733
期刊介绍: China Safety Science Journal is administered by China Association for Science and Technology and sponsored by China Occupational Safety and Health Association (formerly China Society of Science and Technology for Labor Protection). It was first published on January 20, 1991 and was approved for public distribution at home and abroad. China Safety Science Journal (CN 11-2865/X ISSN 1003-3033 CODEN ZAKXAM) is a monthly magazine, 12 issues a year, large 16 folo, the domestic price of each book is 40.00 yuan, the annual price is 480.00 yuan. Mailing code 82-454. Honors: Scopus database includes journals in the field of safety science of high-quality scientific journals classification catalog T1 level National Chinese core journals China Science and technology core journals CSCD journals The United States "Chemical Abstracts" search included the United States "Cambridge Scientific Abstracts: Materials Information" search included
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