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Geometry and time updaters-based arbitrary-yaw iterative explicit guidance for fixed-thrust boost back of vertical take-off/vertical landing reusable launch vehicles

机译:基于几何和时间更新器的任意偏航迭代式明确指导,用于垂直起飞/垂直着陆可重复使用运载工具的固定推力提升

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The typical return flight profile of vertical take-off/vertical landing (VTVL) reusable launch vehicles (RLVs) mainly comprises flip maneuver phase, boost back phase, grid fins deploy phase, among which the boost back phase plays a determinant role in accurate landing of reusable launch vehicles. In order to achieve pinpoint terminal precision in the boost back phase, a geometry and time updaters-based arbitrary-yaw iterative explicit guidance method is presented in this paper. By adopting an analytic motion predictor and abandoning small yaw angle hypothesis, the arbitrary-yaw iterative guidance law is formulated to deal with large yaw guidance problem caused by initial deviations and long-time flight To compensate for the guidance errors due to the ignorance of terminal position constraint in the baseline guidance, a geometry updater is developed to update the target based on analytical geometry relationship. Furthermore, considering that the terminal target continuously moves following the earth, the time updater is designed to determine the candidate virtual orbit according to the estimated time-to-go. Simulations under various nominal flight trajectories and different initial deviations as well as the Monte Carlo simulation are carried out. Results illustrate that the proposed guidance algorithm performs well, showing high precision, strong adaptability and robustness. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:垂直起降/垂直着陆(VTVL)可重复使用运载火箭(RLV)的典型回程飞行曲线主要包括翻转机动阶段,后推阶段,网格鳍展开阶段,其中后退阶段在精确着陆中起决定性作用可重复使用的运载工具。为了在升压阶段达到精确的终端精度,提出了一种基于几何和时间更新器的任意偏航迭代显式制导方法。通过采用解析运动预测器,放弃小偏航​​角假设,制定了任意偏航迭代制导律,以解决初始偏差和长时间飞行引起的大偏航制问题,以补偿由于航站楼无知引起的制导误差。在基线指导中的位置约束条件下,开发了几何更新器,以基于解析几何关系更新目标。此外,考虑到终端目标不断跟随地球运动,时间更新器被设计为根据估计的行进时间确定候选虚拟轨道。进行了各种标称飞行轨迹和不同初始偏差下的仿真以及蒙特卡洛仿真。结果表明,所提出的制导算法性能良好,具有较高的精度,较强的适应性和鲁棒性。 (C)2019 Elsevier Masson SAS。版权所有。

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