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Research on Minimum Safety Distance in Free Flight Based on CNS Performances

机译:基于CNS性能的自由飞行最小安全距离研究

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摘要

Free flight is one of effective methods to solve airspace congestion in the future. In order to guarantee safety of flight in free flight environment, the minimum safety distance was studied. Within circumstance that collision avoidance system hasn’t started to make TCAS logic judgment to flight nearby, communication, navigation and surveillance (CNS) performances play a decisive role to minimum safety distance. The position errors, which were affected by CNS performances, were regarded as Brownian motion along the coordinate direction respectively. Then a model for collision risk in free flight environment was established basing stochastic differential equations. Minimum safety distance between flights can be obtained using dichotomy to optimize under the given Target Level of Safety (TLS). The example shows that the model is feasible.
机译:自由飞行是解决未来空域拥挤的有效方法之一。为了保证自由飞行环境下的飞行安全,研究了最小安全距离。在防撞系统尚未开始对附近的飞行进行TCAS逻辑判断的情况下,通信,导航和监视(CNS)的性能对于最小安全距离起着决定性的作用。受CNS性能影响的位置误差分别视为沿坐标方向的布朗运动。然后基于随机微分方程建立了自由飞行环境下的碰撞风险模型。可以使用二分法获得两次飞行之间的最小安全距离,以在给定的目标安全级别(TLS)下进行优化。实例表明该模型是可行的。

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