DocumentCode :
2912636
Title :
Relative navigation algorithm research of chaser spacecraft
Author :
Deng, Hong ; Zhong, Weichao ; Sun, Zhaowei ; Wu, Shunan
Author_Institution :
Res. Center of Satellite Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
5-12 March 2011
Firstpage :
1
Lastpage :
11
Abstract :
In this paper, the relative navigation algorithm of chaser spacecraft with orbit maneuvering is investigated. Based on the relative motion dynamic model and linear relative measurement model, a robust H filter for chaser spacecraft is proposed, which contains affine norm-bounded uncertainties, disturbances, and non-Gaussian noise. The necessary and sufficient conditions for the existence of robust H filter are obtained in terms of a linear matrix inequality(LMI). The filter design is then cast into a convex optimization problem subject to LMI constraints. The numerical simulation results show that the relative position precision is 0.1m and the relative velocity precision is 0.02m/s when the chaser spacecraft has orbit maneuvering, which illustrates the effectiveness and advantage of the proposed navigation algorithm.
Keywords :
H optimisation; Kalman filters; aircraft navigation; convex programming; filtering theory; linear matrix inequalities; robust control; space vehicles; LMI; chaser spacecraft; convex optimization problem; linear matrix inequality; linear relative measurement model; orbit maneuvering; relative motion dynamic model; relative navigation algorithm; robust H filter; Mathematical model; Maximum likelihood detection; Nonlinear filters; Optical filters; Orbits; Robustness; Space vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2011 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-7350-2
Type :
conf
DOI :
10.1109/AERO.2011.5747614
Filename :
5747614
Link To Document :
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