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首页> 外文期刊>Journal of guidance, control, and dynamics >Onboard Trajectory Generation for Entry Vehicles via Adaptive Multivariate Pseudospectral Interpolation
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Onboard Trajectory Generation for Entry Vehicles via Adaptive Multivariate Pseudospectral Interpolation

机译:通过自适应多元伪谱插值法生成进入车辆的车载轨迹

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摘要

In this work, the multivariate pseudospectral interpolation approach has been coupled with an algorithm of subspace selection to be able to generate online nearly optimal real-time trajectories for entry scenarios in the presence of wide dispersions at the entry interface. The Monte Carlo campaign has demonstrated the feasibility of this approach, having as further advantage a significant improvement in the guidance performances, analyzed both in terms of longitudinal error and in terms of footprint dispersion, reduced to ≌6% of the one obtained with a more traditional NTT approach.
机译:在这项工作中,多变量伪谱插值方法已与子空间选择算法结合在一起,能够在输入界面处存在广泛色散的情况下为输入场景生成在线近乎最佳的实时轨迹。蒙特卡洛战役证明了这种方法的可行性,其进一步的优势是制导性能的显着提高(从纵向误差和足迹分布方面进行分析),降低到制导性能的6%,而在其他方面传统的NTT方法。

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