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Optimal control of fully routed air traffic in the presence of uncertainty and kinodynamic constraints.

机译:在存在不确定性和运动动力学约束的情况下,对全路线空中交通的最佳控制。

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摘要

Air Traffic Management is the process of guiding a finite set of aircraft, each along its pre-determined path within some local airspace, subject to various physical and operational restrictions. This research addresses the limitations of current graph-based Air Traffic Management optimization methods by incorporating techniques to account for stochastic effects, physical inertia and variable arrival sequencing. In addition, this research provides insight into the performance of multiple methods for approximating non-differentiable air traffic constraints, and incorporates these methods into a multi-objective optimization problem that minimizes the total time of flight, deviation from scheduled arrival time and fuel consumption of aircraft in the local airspace. The methods developed and tested throughout this dissertation demonstrate the ability of graph-based optimization techniques to model realistic air traffic restrictions and generate viable control strategies.
机译:空中交通管理是引导有限的飞机组的过程,每架飞机在某些局部领空内沿着其预定路径飞行,受到各种物理和操作限制。这项研究通过结合考虑随机效应,物理惯性和可变到达序列的技术,解决了当前基于图的空中交通管理优化方法的局限性。此外,这项研究还提供了对近似不可区分的空中交通约束的多种方法的性能的洞察力,并将这些方法纳入了多目标优化问题,该问题使总飞行时间,偏离预定到达时间和燃油消耗最小化。飞机在当地领空。全文中开发和测试的方法证明了基于图的优化技术能够建模现实的空中交通限制并生成可行的控制策略的能力。

著录项

  • 作者

    Arendt, Christopher D.;

  • 作者单位

    Air Force Institute of Technology.;

  • 授予单位 Air Force Institute of Technology.;
  • 学科 Operations Research.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 287 p.
  • 总页数 287
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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