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基于尾涡强度的无人机与民机纵向安全间隔评估研究
引用本文:杨新湦,任治.基于尾涡强度的无人机与民机纵向安全间隔评估研究[J].中国安全生产科学技术,2018,14(10):64-69.
作者姓名:杨新湦  任治
作者单位:(中国民航大学 空中交通管理学院,天津 300300)
基金项目:基金项目: 国家自然科学基金项目(U1533129);国家自然科学基金青年科学基金项目(61603396)
摘    要:为了解决无人机频频入侵机场净空,与民航客机发生危险接近的问题,以碰撞风险为量化指标,对无人机与民机需要保持的纵向安全间隔进行评估研究。分析民机尾涡流场对无人机运行的影响,利用Crow近场涡强度消散理论,得到实际尾迹影响区改进Reich碰撞模板,据此建立CNS/GPS性能环境下的纵向间隔评估模型,通过Matlab进行间隔值求解。研究结果表明:模型可以较为准确地反映民机起飞初始爬升阶段无人机尾随运行时导航性能和尾涡迹对所需最小间隔值的影响,并得到给定安全目标水平的计算结果。

关 键 词:空中交通管理  无人机管控  尾涡消散  碰撞风险  位置误差

Research on assessment of longitudinal safety separation between UAV and civil aircraft based on trailing vortex intensity
YANG Xinsheng,REN Zhi.Research on assessment of longitudinal safety separation between UAV and civil aircraft based on trailing vortex intensity[J].Journal of Safety Science and Technology,2018,14(10):64-69.
Authors:YANG Xinsheng  REN Zhi
Institution:(College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China)
Abstract:In order to solve the problem that the unmanned aerial vehicle (UAV) have frequently intruded into the airport clearance and happened the near miss with the civil aircraft, the longitudinal safety separation that should be maintained between the UAV and civil aircraft was assessed and studied by taking the collision risk as the quantitative index. The influence of trailing vortex flow field of civil aircraft on the operation of UAV was analyzed, and the improved Reich collision template of the practical wake influence zone was obtained by using the Crow near field vortex intensity dissipation theory. On this basis, an assessment model of longitudinal separation under the environment of CNS/GPS performance was established, and the separation value was solved by using Matlab. The results showed that the model could more accurately reflect the influence of navigation performance and trailing vortex wake on the required minimum separation value during the take off initial climbing period of civil aircraft with the following operation of UAV, and the calculation results of given safety target level could be obtained.
Keywords:air traffic management  unmanned aerial vehicle (UAV) management and control  trailing vortex dissipation  collision risk  position error
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