Robust Kalman filtering for relative state estimation of spacecraft-formation maintenance

Zhe Dong; Qin Zhou

doi:10.1117/12.658354

4 January 2006 Robust Kalman filtering for relative state estimation of spacecraft-formation maintenance

Zhe Dong, Qin Zhou

Proceedings Volume 5985, International Conference on Space Information Technology; 59854K (2006) https://doi.org/10.1117/12.658354
Event: International Conference on Space information Technology, 2005, Wuhan, China

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.

Citation Download Citation

Zhe Dong and Qin Zhou "Robust Kalman filtering for relative state estimation of spacecraft-formation maintenance", Proc. SPIE 5985, International Conference on Space Information Technology, 59854K (4 January 2006); https://doi.org/10.1117/12.658354

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