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Hybrid Genetic Algorithm Collocation Method for Trajectory Optimization

机译:混合遗传算法的轨迹优化配置方法

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摘要

In this Note, we presented a hybrid numerical optimization technique for synthesis of trajectories using a direct Hermite-Legendre-Gauss-Lobatto collocation technique. The minimum-time low-thrust transfer trajectory from a geocentric circular orbit to an areocentric circular orbit was computed. The initial guesses for the nonlinear programming problem were obtained by searching through the state space for feasible candidate solutions via a genetic algorithm with a shooting method. The results obtained compare very favorably with published results.
机译:在本说明中,我们提出了一种混合的数值优化技术,使用直接的Hermite-Legendre-Gauss-Lobatto搭配技术来合成轨迹。计算了从地心圆轨道到等心圆轨道的最小时间低推力转移轨迹。非线性规划问题的初步猜测是通过使用射击方法的遗传算法在状态空间中搜索可行的候选解而获得的。获得的结果与已发表的结果相比非常有利。

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  • 来源
    《Journal of guidance, control, and dynamics》 |2009年第4期|1396-1403|共8页
  • 作者单位

    Box 19018, 211 Woolf Hall. West First Street,Department of Mechanical & Aerospace Engineering University of Texas at Arlington, Arlington, Texas 76019-0018;

    University of Texas at Arlington, Arlington, Texas 76019-0018;

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  • 正文语种 eng
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