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Waypoint Position Optimization for Accurate Ground-Based Arrival Time Control of Aircraft

机译:飞机地面精确到达时间控制的航路点位置优化

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摘要

In the ground-based arrival time control operation, the measurement of the arrival time error and the speed advisory to cancel it are performed at specific waypoint(s). It is generally recognized that the arrival time accuracy depends on the accuracy of trajectory prediction and control and the availability of information about the aircraft intent. Additionally, the position of the waypoint also determines the arrival time accuracy. Therefore, in this study, the feasibility of waypoint position optimization to improve the arrival time accuracy of aircraft controlled by ground-based speed advisory and its effectiveness are discussed. The models of flight time uncertainty and the arrival time control window were developed using the actual track and numerical weather forecast data. An optimization problem was formulated that defined the arrival time uncertainty at the terminal point as the objective function and numerically solved using sequential quadratic programming. Through numerical investigations, the feasibility of the waypoint position optimization and its effectiveness were clearly demonstrated in comparison with uniform arrangement cases. It was also clarified that the advantage of the multiple waypoint application was enhanced when larger arrival time control windows were available.
机译:在基于地面的到达时间控制操作中,到达时间误差的测量以及消除该误差的速度建议在特定的航路点进行。通常认识到,到达时间的准确性取决于轨迹预测和控制的准确性以及有关飞机意图的信息的可用性。此外,航路点的位置还确定到达时间的准确性。因此,在本研究中,讨论了通过地面速度咨询控制来提高飞机的到达时间精度的航路点位置优化的可行性及其有效性。利用实际的航迹和数值天气预报数据开发了飞行时间不确定性和到达时间控制窗口的模型。提出了一个优化问题,该问题将终点的到达时间不确定性定义为目标函数,并使用顺序二次编程进行了数值求解。通过数值研究,与统一布置案例相比,航点位置优化的可行性及其有效性得到了明确证明。还澄清了,当有更大的到达时间控制窗口时,多路点应用程序的优势得到增强。

著录项

  • 来源
    《Journal of Advanced Transportation》 |2018年第3期|6376417.1-6376417.9|共9页
  • 作者

    Takeichi Noboru;

  • 作者单位

    Tokyo Metropolitan Univ, Dept Aeronaut & Astronaut, 6-6 Asahigaoka, Hino, Tokyo 1910065, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 01:11:27

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