Back to Search Start Over

Reduced‐order observer‐based robust drag‐tracking guidance for uncertain entry vehicles.

Authors :
Yan, Han
Wang, Xinghu
He, Yingzi
Wei, Chunling
Source :
International Journal of Robust & Nonlinear Control. Sep2020, Vol. 30 Issue 13, p4906-4923. 18p.
Publication Year :
2020

Abstract

Summary: This article studies the drag‐tracking guidance design problem of entry vehicles with low lift‐to‐drag ratio. Taking issues of uncertainty and input saturation into account, we develop a reduced‐order observer‐based robust output feedback guidance law, making the drag‐tracking error converge near zero. Our study not only achieves robust drag‐tracking guidance against inherently existing uncertainty, but also removes the redundant drag estimation in the literature. The Monte Carlo simulation is done to illustrate the advantage of the developed method. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*MONTE Carlo method
*VEHICLES

Details

Language :
English
ISSN :
10498923
Volume :
30
Issue :
13
Database :
Academic Search Index
Journal :
International Journal of Robust & Nonlinear Control
Publication Type :
Academic Journal
Accession number :
145043745
Full Text :
https://doi.org/10.1002/rnc.5019