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Analysis of predictive entry guidance for a Mars lander under high model uncertainties

机译:高模型不确定性下火星着陆器的预测进入制导分析

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The problem of precision landing on Mars is now considered to be an essential challenge in the planned Mars missions. The paper focused on the guided atmospheric entry as a predominant phase in achieving a desired target state, as compared with the following parachute and powered descent. The predictive algorithms for the longitudinal guidance of a low-lift entry vehicle are treated. The purpose is to investigate applicability of the predictive strategy under possible high discrepancies between the on-board dynamic model and real environment while in entry trajectory. The comparative performance analysis based on computer simulation has been made between the standard one-parametric "shooting" predictive algorithm and a more complex two-parametric algorithm providing lower final velocity and, thus, expanding the interval of admissible downrange. However, both algorithms display considerable degradation of downrange accuracy in the cases when the actual drag force is larger than the modelled one. An acceptable solution has been found by including to both predictive guidance schemes an identification algorithm that repeatedly adapts the on-board model to varied environment in real time scale.
机译:现在,在计划中的火星任务中,火星精确着陆的问题被认为是必不可少的挑战。与随后的降落伞和动力下降相比,本文将重点放在引导大气进入作为实现所需目标状态的主要阶段。对用于低升程进入车辆的纵向引导的预测算法进行了处理。目的是研究在进入轨迹时机载动态模型与实际环境之间可能存在的高差异下,预测策略的适用性。在标准的一参数“射击”预测算法和更复杂的两参数算法之间进行了基于计算机仿真的比较性能分析,该算法提供了较低的最终速度,从而扩大了可允许的下限范围。但是,在实际阻力大于建模阻力的情况下,两种算法均会严重降低降档精度。通过在两种预测制导方案中都包括一种识别算法,可以找到一种可接受的解决方案,该算法可反复使车载模型实时适应变化的环境。

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