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湛康意, 陈海朋, 余薛浩, 王禄, 李昃雯. 月面应急上升自适应制导技术研究[J]. 深空探测学报(中英文), 2021, 8(2): 163-170. DOI: 10.15982/j.issn.2096-9287.2021.20200076
引用本文: 湛康意, 陈海朋, 余薛浩, 王禄, 李昃雯. 月面应急上升自适应制导技术研究[J]. 深空探测学报(中英文), 2021, 8(2): 163-170. DOI: 10.15982/j.issn.2096-9287.2021.20200076
ZHAN Kangyi, CHEN Haipeng, YU Xuehao, WANG Lu, LI Zewen. Research on Adaptive Guidance Technology for Lunar Emergency Ascent[J]. Journal of Deep Space Exploration, 2021, 8(2): 163-170. DOI: 10.15982/j.issn.2096-9287.2021.20200076
Citation: ZHAN Kangyi, CHEN Haipeng, YU Xuehao, WANG Lu, LI Zewen. Research on Adaptive Guidance Technology for Lunar Emergency Ascent[J]. Journal of Deep Space Exploration, 2021, 8(2): 163-170. DOI: 10.15982/j.issn.2096-9287.2021.20200076

月面应急上升自适应制导技术研究

Research on Adaptive Guidance Technology for Lunar Emergency Ascent

  • 摘要: 针对月面应急上升问题,研究了一种显式自适应制导方法。根据极大值原理,推导建立了5个约束条件下最大能量入轨的两点边值问题。设计了一种双层迭代求解策略,内层通过牛顿迭代求解最大能量入轨的两点边值问题,外层通过调整时间使得速度满足目标速度。在外层迭代中,设计了一种时间迭代调整策略;在内层求解两点边值问题中,根据任务中推力方向变化规律,设计一种协态变量主矢量初值的选取策略。仿真结果表明,设计的制导律能可靠收敛,目标参数装订简单,可适应共面上升任务和异面上升任务。在存在秒耗量和比冲偏差的情况下,仍具有较高的制导精度。

     

    Abstract: In this paper, an adaptive guidance method is studied for the emergency ascent of the lunar surface. Firstly, according to the principle of maximum value, the two-point boundary value problem of maximum energy entering orbit under five constraints is derived and established. Secondly, a two-layer iterative solution strategy is designed. The inner layer uses Newton iteration to solve the two-point boundary value problem of maximum energy into orbit, and the outer loop adjusts the time to make the speed meet the target speed. In the outer loop iteration, a time iterative adjustment strategy is designed. In the inner loop, according to the change rule of the thrust direction in the task, a strategy for selecting the initial value of the principal vector of the covariant variable is designed to solve the two-point boundary value problem. The simulation results show that the guidance law designed in this paper can converge reliably, and the target parameter binding is simple. It can adapt to coplanar ascending tasks and different-plane ascending tasks. In the presence of second consumption and specific impulse deviation, it still has high guidance accuracy.

     

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