低推力行星际轨道优化中若干难点问题的求解

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Optimal Control Applications & Methods Pub Date : 2007-10-29 DOI:10.1002/OCA.4660090303
M. Bartholomew-Biggs, L. Dixon, S. Hersom, Z. Maany
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引用次数: 5

摘要

本文提出了一种求解航天器轨道优化问题的方法,并在大量实例中取得了成功。然而,一组涉及低推力太阳能动力飞行器的特殊任务给该方法带来了困难,本文对这些困难进行了描述和讨论。特别是这些问题似乎揭示了一些当前约束最小化算法的弱点,因此我们考虑了一些新的优化例程。我们还推导了一个新的问题的公式,使用偏心和动量矢量作为状态变量,而不是更常见的笛卡尔坐标。这种重新表述使我们能够做出一些简化的假设,使问题更容易解决,同时仍然提供对真正最优的良好估计。
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The solution of some difficult problems in low-thrust interplanetary trajectory optimization†
This paper deals with an approach to the problem of spacecraft trajectory optimization that has been successful on a wide range of practical examples. A particular group of missions involving low-thrust solar-powered vehicles has presented difficulties for the method, however, and these are described and discussed. In particular the problems seem to reveal weaknesses in some current algorithms for constrained minimization, and we therefore consider some new optimization routines. We also derive a new formulation of the problem using eccentricity and momentum vectors as state variables rather than the more usual Cartesian co-ordinates. This reformulation allows us to make some simplifying assumptions which make the problem easier to solve while still furnishing good estimates of the true optimum.
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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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