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Optimal air route flight conflict resolution based on receding horizon control

机译：基于后视点控制的最优航线飞行冲突解决

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摘要

To deal with the air route flight conflicts caused by abnormal situations during four-dimensional based air traffic operation, the air route flight conflict resolution problem for two aircrafts was addressed. Based on the optimized static single heading angle or ground speed adjustment strategy, we proposed an optimized dynamic mixed conflict resolution strategy based on Receding Horizon Control (RHC), which considered the possibility of one aircraft's ground speed variation. In particular, the wind speed vector disturbance during conflict resolution might lead to a model mismatch, so the maximum likelihood estimation method and the Newton-Raphson iterative algorithm were employed to identify the wind speed vector using the aircraft true airspeed inputs and ground based trajectory measurements. Moreover, we considered the convergence of conflict resolution method based on RHC and proposed the precondition that local and global optimization resolution can be achieved. We compared three situations, i.e., static single strategy optimization, dynamic mixed strategy optimization using RHC with one aircraft's ground speed variation, and dynamic mixed strategy optimization using RHC with the wind speed vector disturbance. We demonstrated that the dynamic mixed strategy responds to one aircraft's ground speed disturbance quickly, and resolved conflict by track angle and ground speed adjustments in an effective manner after the wind speed vector being identified accurately. (C) 2015 Elsevier Masson SAS. All rights reserved.
机译：为解决基于二维空中交通运营过程中异常情况引起的航线冲突，解决了两架飞机的航线冲突解决问题。基于优化的静态单航向角或地面速度调整策略，我们提出了一种基于后视水平控制（RHC）的优化的动态混合冲突解决策略，其中考虑了一架飞机地面速度变化的可能性。特别是，冲突解决期间的风速矢量扰动可能导致模型不匹配，因此，采用最大似然估计方法和牛顿-拉夫森迭代算法，利用飞机的真实空速输入和地面轨迹测量来识别风速矢量。 。此外，我们考虑了基于RHC的冲突解决方法的收敛性，并提出了可以实现局部和全局优化解决的前提。我们比较了三种情况，即静态单策略优化，使用RHC的动态混合策略优化和一架飞机的地面速度变化以及使用RHC的动态混合策略优化和风速矢量扰动。我们证明了动态混合策略可快速响应一架飞机的地面速度扰动，并在准确识别风速矢量后通过有效的方式通过航迹角和地面速度调整解决了冲突。 （C）2015 Elsevier Masson SAS。版权所有。

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