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Three-dimensional trajectory optimization in constrained airspace .

机译:受限空域中的三维轨迹优化。

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摘要

This dissertation deals with the generation of three-dimensional optimized trajectory in constrained airspace. It expands the previously used two-dimensional aircraft model to a three-dimensional model and includes the consideration of complex airspace constraints not included in previous trajectory optimization studies. Two major branches of optimization methods, indirect and direct methods, are introduced and compared. Both of the methods are applied to solve a two-dimensional minimum-time-to-climb (MTTC) problem. The solution procedure is described in detail. Two traditional problems, the Brachistochrone problem and Zermelo's problem, are solved using the direct collocation and nonlinear programming method. Because analytical solutions to these problems are known. These solutions provide verification of the numerical methods. Three discretization methods, trapezoidal, Hermite-Simpson and Chebyshev Pseudospectral (CP) are introduced and applied to solve the Brachistochrone problem. The solutions obtained using these discretization methods are compared with the analytical results.; An 3-D aircraft model with six state variables and two control variables are presented. Two primary trajectory optimization problems are considered using this model in the dissertation. One is to assume that the aircraft climbs up from sea level to a desired altitude in a square cross section cylinder of arbitrary height. Another is to intercept a constant velocity, constant altitude target in minimum time starting from sea level. Results of the optimal trajectories are compared with the results from the proportional navigation guidance law. Field of View constraint is finally considered in this interception problem.; The CP discretization and nonlinear programming method is shown to have advantages over indirect methods in solving three-dimensional (3-D) trajectory optimization problems with multiple controls and complex constraints.; Conclusions from both problems are presented and properties of each one are discussed. Finally, suggestions for future research are addressed.
机译:本文研究了受限空域中三维优化轨迹的产生。它将先前使用的二维飞机模型扩展为三维模型,并考虑了复杂的空域约束条件,而这些约束条件在先前的轨迹优化研究中并未包括在内。介绍和比较了优化方法的两个主要分支,即间接方法和直接方法。两种方法都适用于解决二维最小爬升时间(MTTC)问题。详细描述解决过程。使用直接配置和非线性规划方法解决了两个传统问题,即腕足动物问题和策尔梅洛问题。因为这些问题的解析解决方案是已知的。这些解决方案提供了数值方法的验证。引入了三种离散化方法,梯形,Hermite-Simpson和Chebyshev伪谱(CP)并应用于解决Brachistochrone问题。将使用这些离散化方法获得的溶液与分析结果进行比较。提出了具有六个状态变量和两个控制变量的3-D飞行器模型。本文使用该模型考虑了两个主要的轨迹优化问题。一种是假设飞机在任意高度的方形横截面圆柱体中从海平面爬升至所需高度。另一个方法是在最短时间内从海平面拦截恒定速度,恒定高度的目标。将最佳轨迹的结果与比例导航制导律的结果进行比较。最后,在这个拦截问题中考虑了视场约束。在解决具有多个控制和复杂约束的三维(3-D)轨迹优化问题时,CP离散化和非线性规划方法具有优于间接方法的优势。提出了两个问题的结论,并讨论了每个问题的性质。最后,提出了有关未来研究的建议。

著录项

  • 作者

    Dai, Ran.;

  • 作者单位

    Auburn University.;

  • 授予单位 Auburn University.;
  • 学科 Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空、航天技术的研究与探索;
  • 关键词

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