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Proceedings Paper

Robust Kalman filtering for relative state estimation of spacecraft-formation maintenance
Author(s): Zhe Dong; Qin Zhou
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Paper Abstract

Relative state estimation is a key technology in the spacecraft formation flying area. Since there exists nonlinear perturbation and uncertainties in the dynamic model, it is necessary to use a robust filter to estimate the relative state. A robust Kalman filter is presented in this paper for discrete time-varying systems with uncertain nonlinear perturbation and uncertainties in the state, output and input matrices, and this filter is applied to solve the relative state estimation problem of spacecraft-formation maintenance. Simulation results show the high performance of the filter.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59854K (4 January 2006); doi: 10.1117/12.658354
Show Author Affiliations
Zhe Dong, Tsinghua Univ. (China)
Qin Zhou, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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