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Automatic interplanetary trajectory generation for electric propulsion trade studies.

机译:自动行星际轨迹生成,用于电力推进贸易研究。

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The goal of this work is to provide methods which can be used to auto-generate feasible electric propulsion interplanetary trajectories for use with Hall and Ion thrusters. The research is aimed at automating the trajectory generation for trade studies. Automating the trajectory generation process allows non trajectory specialists to generate a good initial guess for use in optimizers and to rapidly conduct trade studies.;Two types of trade studies are considered, high and low level trades. High level trades utilize reduced order models, which simplify the problem, while low level trades use high delity models of the thruster and power system. Novel methods are designed to automate the entire trajectory generation process. They use information from previous iterations so the user does not have to supply an initial guess. The initial guess for the first iteration is generated using a self starting method, which allows for the generation of a unique initial guess for each subproblem.;For high level trades with variable efficiency constant specific impulse thrusters it is found that the optimal specific impulse is independent of the launch mass and varies with the propellant and power system. The optimal solution favors a larger power system mass vs. the propellant mass. To carry out these trade studies a homotopy method is used in a proof of concept tool which optimizes the C3, power level, and specific impulse over a range of power systems power to mass ratios.;A two phase approach is used to generate trajectories for low level trades. The first phase uses Chebyshev polynomials to model the trajectories. The Chebyshev coeffcients are optimized, which allows for the selection of a unique low cost trajectory for a large range of launch and arrival dates. The Chebyshev trajectory is then used as an initial guess to a feasible trajectory solver which integrates the trajectory and uses thruster and power system models to constrain the trajectory. The use of the Chebyshev polynomials with the fully integrated solver allows trajectories to be generated without requiring the user to supply any initial guess.
机译:这项工作的目标是提供可用于自动生成与霍尔和离子推进器一起使用的可行的电推进行星际轨道的方法。该研究旨在使贸易研究的轨迹生成自动化。使轨迹生成过程自动化可以使非轨迹专家为优化器的使用生成良好的初始猜测并快速进行贸易研究。;考虑了两种贸易研究,即高水平和低水平贸易。高级别交易使用简化的订单模型,这简化了问题,而低级别交易使用了推进器和动力系统的高可靠性模型。设计了新颖的方法来自动化整个轨迹生成过程。他们使用来自先前迭代的信息,因此用户不必提供初始猜测。第一次迭代的初始猜测是使用自启动方法生成的,该方法可以为每个子问题生成唯一的初始猜测;对于具有可变效率的恒定比定冲量推进器的高级别交易,发现最佳比定冲为与发射质量无关,并随推进剂和动力系统而变化。最佳解决方案有利于更大的动力系统质量而不是推进剂质量。为了进行这些行业研究,在概念验证工具中使用同伦方法来优化C3,功率水平和一系列动力系统功率质量比上的比冲动。两阶段方法用于生成轨迹低水平交易。第一阶段使用Chebyshev多项式对轨迹进行建模。切比雪夫(Chebyshev)系数进行了优化,从而可以针对各种发射和到达日期选择独特的低成本航迹。然后,将切比雪夫(Chebyshev)轨迹用作对可行轨迹求解器的初始猜测,该求解器对轨迹进行了集成,并使用推进器和动力系统模型来约束轨迹。将Chebyshev多项式与完全集成的求解器结合使用可生成轨迹,而无需用户提供任何初始猜测。

著录项

  • 作者

    Patel, Prashant R.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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