基于轨迹的作战——轨迹不确定性下的稳健规划

S. Mondoloni
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引用次数: 5

摘要

基于轨迹的作战需要制定和执行基于轨迹的计划,由于轨迹预测的不准确性和干扰,该计划受到不确定性的影响。通过蒙特卡罗仿真,在不同的预测误差水平下,评估了冲突检测/解决和交通同步引起的干扰的影响。对于超过2小时的预测时间,冲突造成的不确定性低于1%。交通同步显示进一步放大任何轨迹预测的不准确性。使用最优延迟裕度和信用来描述增量分配延迟的过程,以确保分配稳定的延迟。该方法被证明可以从代价高昂的战术延误转变为战略延误,公平地分配各个阶段的延误,并在起飞前为每个航班提供更可预测的延误。随着弹道预测精度的提高,收益也会增加。
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Trajectory-based operations — Robust planning under trajectory uncertainty
Trajectory-Based Operations require the development and execution of a trajectory-based plan which is subject to uncertainty as a result of trajectory prediction inaccuracy and disturbances. The impact of disturbances due to conflict detection/resolution and traffic synchronization are evaluated under different levels of prediction inaccuracy through Monte Carlo Simulation. Conflicts are estimated to contribute uncertainty below a 1% speed variation for look-ahead times beyond 2 hours. Traffic Synchronization is shown to further amplify any trajectory prediction inaccuracy. A process for the incremental assignment of delays is described using an optimum delay margin and credit to ensure a stable delay is assigned. The approach is shown to allow a shift from costly tactical delays to strategic, equitably assigning delays across stage lengths and providing significantly more predictable delays per flight prior to departure. Benefits are shown to increase as trajectory prediction accuracy is improved.
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