首页> 外文会议>AAS/AIAA Space Flight Mechanics Meeting; 20060122-26; Tampa,FL(US) >The Computation of Optimal Rendezvous Trajectories Using the Sequential Gradient-Restoration Algorithm
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The Computation of Optimal Rendezvous Trajectories Using the Sequential Gradient-Restoration Algorithm

机译:基于顺序梯度恢复算法的最优交会轨迹计算

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This paper describes the formulation and numerical investigation of the thrust function required to minimize time or fuel usage for the terminal phase of the rendezvous of two spacecraft. The particular rendezvous studied concerns a target spacecraft in a circular orbit and a chaser spacecraft with an initial separation distance and separation velocity in all three dimensions. First, the time-optimal rendezvous is investigated followed by the fuel-optimal rendezvous for three values of the max thrust acceleration via the Sequential Gradient-Restoration Algorithm. Then, the time-optimal rendezvous for given fuel and the fuel-optimal rendezvous for given time are investigated. There are three controls, two of which determine the thrust direction in space and one which determines the thrust magnitude.rnThe main conclusion is that the optimal control distribution can result in two, three, or four subarcs depending on the performance index and the constraints. The time-optimal case results in a two-subarc solution with max thrust. The fuel-optimal case results in a four subarc solution consisting of an initial coasting period, followed by a maximum thrust phase, followed by another coasting period, followed by another maximum thrust phase. Regardless of the number of resulting subarcs, the optimal thrust distribution requires the thrust magnitude to be either at the maximum value or at zero. The coasting periods are finite in duration and their length increases as the time to rendezvous increases and/or as the max allowable thrust increases. Another finding is that, for the fuel-optimal rendezvous with the time unconstrained, the minimum fuel required is nearly constant and independent of the max available thrust.
机译:本文描述了推力函数的公式化和数值研究,以使两个航天器交会的最终阶段所需的时间或燃料消耗最少。所研究的特定集合点涉及圆形轨道上的目标航天器和在所有三个维度上具有初始分离距离和分离速度的追赶航天器。首先,通过顺序梯度恢复算法,研究了时间最优集合点,然后研究了最大推力加速度的三个值的燃料最优集合点。然后,研究了给定燃料的时间最优集合点和给定时间的燃料最优集合点。有三种控制,其中两种确定空间的推力方向,一种确定推力的大小。主要结论是,根据性能指标和约束条件,最优控制分布可以导致两个,三个或四个子弧。时间最优的情况导致了最大推力的两个subarc解。最佳燃油情况导致出现四个亚弧解,包括初始滑行期,最大推力阶段,随后的另一个滑行期,以及另一个最大推力阶段。无论所得子弧的数量如何,最佳推力分布都要求推力大小为最大值或为零。滑行周期的持续时间是有限的,并且其长度随着会合时间的增加和/或最大允许推力的增加而增加。另一个发现是,对于不受时间限制的最佳燃料集合点,所需的最小燃料几乎恒定,并且与最大可用推力无关。

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