Multi-constraint compound reentry guidance based on onboard model identification

被引：0
|
作者：
Cheng L. [1 ]
Zhang Q. [2 ]
Jiang F. [1 ]
机构：
[1] School of Aerospace Engineering, Tsinghua University, Beijing
[2] School of Automation Science and Electrical Engineering, Beihang University, Beijing
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2019年 / 59卷 / 09期
关键词：
Compound altitude-velocity corridor; Gaussian integral method; Model identification; Period-crossing parameter correction; Recursive least squares estimation method; Reentry guidance;
D O I：
10.16511/j.cnki.qhdxxb.2019.26.018
中图分类号：
学科分类号：
摘要：
A period-crossing feasible trajectory planning algorithm for reentry guidance was developed based on control variable parameterization, integral transformations, and onboard model identification. A compound height velocity (HV) corridor simplifies the reentry guidance problem into a root-searching problem. A Gauss integral is introduced to improve the time efficiency of the range prediction with the original integral problem converted into a function calculation problem. The recursive least squares estimation method was used to develop functions for on-board information mining and model identification. The reliable, explicit solution model can easily correct the weight coefficients using the period-crossing Newton-Raphson method. Numerical simulations show that the reentry guidance method based on on-board model identification is much faster, more autonomous and more adaptable than the reference trajectory tracking design method. © 2019, Tsinghua University Press. All right reserved.
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页码：712 / 719
页数：7
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