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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Route planner for unmanned aerial system insertion in civil non-segregated airspace
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Route planner for unmanned aerial system insertion in civil non-segregated airspace

机译：在民用非隔离空域中插入无人机系统的路线规划器

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摘要

One of the most interesting challenges of the next few years will be airspace system automation. This process will involve different aspects such as air traffic management, aircraft and airport operations and guidance and navigation systems. The use of unmanned aerial systems for civil missions will be one of the most important steps in this automation process. In this article, an air traffic management oriented conflict detection & resolution algorithm that models air traffic management operative technique as avoidance manoeuvres in order to self-separate the unmanned aerial vehicle from piloted air traffic is presented. As a first step, a geometric analysis identifies all possible unmanned aerial vehicle routes among the mission targets and related potential conflicts with piloted air traffic. For each potential conflict, air traffic management operative techniques are used to model different options of conflict resolution: vertical and horizontal avoidance, speed regulation, holding patterns and rerouting. The performances of a reference unmanned aerial vehicle are used to estimate the cost of each possible sub-route and, in case of conflict, the cost of each possible avoidance manoeuvre, in this way, the unmanned aerial vehicle mission is modelled as a combinatorial optimization problem that concerns the sequencing of both targets and conflict resolution options. As output, a conflict free route that minimizes the air traffic impact over the mission is provided. Simulation results over real air traffic data show how this approach could be useful for future common management of piloted and non-piloted air traffic.
机译：未来几年最有趣的挑战之一将是空域系统自动化。该过程将涉及不同方面，例如空中交通管理，飞机和机场运营以及制导和导航系统。在民航任务中使用无人机系统将是自动化过程中最重要的步骤之一。在本文中，提出了一种面向空中交通管理的冲突检测与解决算法，该算法将空中交通管理操作技术建模为回避演算，以将无人驾驶飞机与飞行员的空中交通自动分离。第一步，进行几何分析，确定任务目标之间所有可能的无人机路线以及与飞行员空中交通相关的潜在冲突。对于每一个潜在的冲突，空中交通管理操作技术用于为冲突解决方案的不同选项建模：纵向和横向规避，速度调节，等待模式和改航。参考无人机的性能用于估算每个可能的子路径的成本，并在发生冲突的情况下，估算每个可能的避让动作的成本，这样，无人机飞行被建模为组合优化模型与目标和冲突解决方案的排序有关的问题。作为输出，提供了一条无冲突的路线，该路线将空中交通对任务的影响降至最低。在实际空中交通数据上的仿真结果表明，这种方法如何可用于将来对飞行员和非飞行员空中交通进行常规管理。

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