Jet transport-based nonlinear state and parameter estimation for geostationary spacecraft

被引：8

作者：

Chen, Jianlin ^{[1
,2
,3
,4
]}

Masdemont, Josep J. ^{[3
,4
]}

Gomez, Gerard ^{[5
,6
]}

Yuan, Jianping ^{[1
,2
]}

机构：

[1] Northwestern Polytech Univ, Sch Astronaut, Xian 710072, Shaanxi, Peoples R China

[2] Natl Key Lab Aerosp Flight Dynam, Xian 710072, Shaanxi, Peoples R China

[3] Univ Politecn Cataluna, IEEC, Diagonal 647, E-08028 Barcelona, Spain

[4] Univ Politecn Cataluna, Dept Matemat, Diagonal 647, E-08028 Barcelona, Spain

[5] Univ Barcelona, IEEC, Gran Via Corts Catalanes 585, E-08007 Barcelona, Spain

[6] Univ Barcelona, Dept Matemat & Informat, Gran Via Corts Catalanes 585, E-08007 Barcelona, Spain

来源：

ACTA ASTRONAUTICA | 2019年 / 164卷

基金：

中国国家自然科学基金;

关键词：

Jet transport; Parameter estimation; Nonlinear estimator; Geostationary spacecraft; ORDER;

D O I：

10.1016/j.actaastro.2019.08.009

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Based on the jet transport technique, this paper proposes a novel nonlinear Kalman filter for simultaneously estimating the spacecraft state vector and uncertain parameters, either physically related with the spacecraft or with the measurement procedure. Two different coordinate representations, including Cartesian and hybrid geostationary orbital elements, are exploited in the new nonlinear estimators. The performance and sensitivity analyses of the proposed jet transport-based nonlinear estimators are assessed by numerical simulations and compared with the classical extended Kalman filter.

引用

页码：321 / 333

页数：13

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