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Optimality Issues in the Free-Flight Merging of Aircraft.

机译:飞机自由合并中的最优性问题。

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This dissertation presents a partial exploration of two fundamentally new paradigms in air traffic control: free flight and decentralization. These ideas are viewed as possible avenues for the next generations of air traffic control systems, which will have to manage a substantially larger amount of traffic.;With the idea of free flight immediately arises the question of trajectory synthesis, and the related issues of optimality, safety, and robustness to uncertain disturbances. The problem of merging aircraft into a single flow (before landing for instance) is a situation where the choice of trajectories is complex, and requires particular attention from the controller. Part I of this thesis presents an algorithmic approach to the synthesis of safe, minimum-turn merging trajectories. The algorithm is based on principles of optimal control theory, and a complete solution to the minimum-turn single-aircraft merging problem is obtained. Examples involving up to five aircraft are treated, and solutions with various degrees of complexity are given. Also, analytical and empirical characterizations of the a priori chances of success of the algorithm are made.;In multi-agent systems, decentralized control introduces several unresolved questions, one of which being the appropriate information topology (possibly constrained) to perform a given task. In Part II of this thesis, a methodology to quantify the relative value of the measurement information at each node of the system is developed for a discrete Linear Quadratic Gaussian framework. Periodicity of the measurements is imposed to interpret the results as data exchange rates, and this assumption allows the reduction of the infinite horizon problem to a finite problem, for which the numerical computations are then feasible. Applied to the classical problem of a string of vehicles, the method results in a topology which is classically valued for its string stability property.;As air traffic increases further. the necessary efforts to redefine the air traffic management system will continue. The work presented in this thesis provides answers to a few of the many questions that will arise along the way, and possibly some inspiration for future research.
机译:本文对空中交通管制的两个根本新范式进行了部分探索:自由飞行和权力下放。这些想法被认为是下一代空中交通管制系统的可能途径,下一代空中交通管制系统将不得不管理大量的交通。随着自由飞行的想法立即产生了轨迹综合问题以及相关的最优性问题。 ,安全性和对不确定干扰的鲁棒性。将飞行器合并为单一流的问题(例如在着陆之前)是轨迹选择很复杂的情况,需要控制器特别注意。本文的第一部分提出了一种算法方法,用于合成安全的最小匝数合并轨迹。该算法基于最优控制原理,得到了最小转弯单机合并问题的完整解。处理了涉及多达五架飞机的示例,并给出了各种复杂程度的解决方案。并且,对算法成功的先验机会进行了分析和经验表征。在多主体系统中,分散控制引入了一些未解决的问题,其中之一是执行给定任务的适当信息拓扑(可能受约束)。 。在本文的第二部分中,针对离散线性二次高斯框架,开发了一种量化系统各节点测量信息相对值的方法。强制使用测量的周期性来将结果解释为数据交换速率,并且该假设允许将无限远景问题简化为有限问题,然后可以进行数值计算。将该方法应用于一串车辆的经典问题,得出的拓扑结构因其串稳定性而得到了经典的评价。重新定义空中交通管理系统的必要努力将继续。本文提出的工作为解决过程中出现的许多问题提供了答案,并可能为将来的研究提供一些启发。

著录项

  • 作者

    Michelin, Andre.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Mechanical engineering.;Operations research.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 125 p.
  • 总页数 125
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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