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一种基于速度-高度剖面的再入制导算法 被引量:1

A Reentry Guidance Algorithm Based on Velocity-Height Profile
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摘要 针对传统数值预测校正制导指令实时性难以保证的问题,考虑当前及终端状态约束,利用卡尔曼滤波估计速度中点对应的无量纲高度,获得满足再入约束的速度-高度飞行剖面,进而获得对应的倾侧角指令。该算法中,每次制导指令产生仅需要两次单变量积分运算,有效降低了计算资源消耗。在再入段飞行末端,针对速度-高度拟合系数求解奇异问题,在当前速度与末端速度之差小于一定的阈值时,跟踪最后一次规划产生的标准飞行剖面生成倾侧角指令,提高算法收敛性。仿真表明,该算法计算量小,制导精度高,具有较强的鲁棒性和工程应用潜力。 Aiming at the problem of the real-time performance of traditional numerical predictor-corrector guidance which is difficult to guarantee,the current and terminal constraints are under consideration in this paper,and the dimensionless height of midpoint of velocity is obtained by adopting Kalman filter,and then the bank angle instruction is obtained.The generation of each guidance command is required by only two univariate integral operations which greatly alleviates the demand of computing capacity.At the end of reentry segment,regarding the solution of velocity-height fitting coefficient singularity,when the difference between the current velocity and the terminal velocity is less than a certain threshold,the last flight profile is tracked and the convergence is improved.The simulation results indicate that the proposed algorithm has small computation,high guidance precision,strong robustness and engineering application potential.
作者 尤志鹏 邵干 李洋 杨勇 You Zhipeng;Shao Gan;Li Yang;Yang Yong(China Academy of Launch Vehicle Technology,Beijing 10076,China)
出处 《航天控制》 CSCD 北大核心 2022年第2期47-53,共7页 Aerospace Control
基金 国防基础科研计划(JCKY2019203A003)。
关键词 再入制导 预测校正 速度-高度剖面 卡尔曼滤波 Reentry guidance Predictor-corrector Velocity-height profile Kalman filter
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