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SIX-DEGREE-OF-FREEDOM TRAJECTORY OPTIMIZATION UTILIZING A TWO-TIMESCALE COLLOCATION ARCHITECTURE

机译:利用双模搭配架构的六维自由轨迹优化

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Six-degree-of-freedom (6DOF) trajectory optimization of a reentry vehicle is solved using a two-timescale collocation methodology. This class of 6DOF trajectory problems are characterized by two distinct timescales in their governing equations, where a subset of the states have high-frequency dynamics (the rotational equations of motion) while the remaining states (the translational equations of motion) vary comparatively slowly. With conventional collocation methods, the 6DOF problem size becomes extraordinarily large and difficult to solve. Utilizing the two-timescale collocation architecture, the problem size is reduced significantly. The converged solution shows a realistic landing profile and captures the appropriate high-frequency rotational dynamics. A large reduction in the overall problem size (by 55%) is attained with the two-timescale architecture as compared to the conventional single-timescale collocation method. Consequently, optimum 6DOF trajectory problems can now be solved efficiently using collocation, which was not previously possible for a system with two distinct timescales in the governing states.
机译:使用双模搭配方法解决了六维自由度(6dof)轨迹优化的重新设定的车辆。这类6dof轨迹问题的特征在于它们的控制方程中的两个不同时间尺寸,其中各个州的子集具有高频动力学(运动的旋转方程),而剩余状态(运动的平移方程)相对缓慢地变化。通过传统的搭配方法,6DOF问题尺寸变得非常大而难以解决。利用双模搭配架构,问题大小明显减少。融合解决方案显示了现实的着陆轮廓,捕获了适当的高频旋转动态。与传统的单模搭配方法相比,在两次时间段架构中实现了总体问题大小的大小(达55%)。因此,现在可以使用搭配有效地解决了最佳的6dof轨迹问题,该曲调问题是在控制状态中具有两个不同时间尺度的系统之前不能进行的。

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