DocumentCode :
1722465
Title :
Robust in-flight alignment approach for inertial navigation system with GPS aiding
Author :
Songyin Cao ; Lei Guo
Author_Institution :
Dept. of Autom., Yangzhou Univ., Yangzhou, China
fYear :
2013
Firstpage :
5138
Lastpage :
5143
Abstract :
Accuracy of inertial navigation systems (INSs) depends on how to eliminate or attenuate the influences of the external disturbances, internal noises, and parametric uncertainties. In this paper, a robust in-flight alignment approach is proposed for a class of INSs with multiple disturbances. Based on modeling and noise analysis, the drifts, unmodeled dynamics, parametric uncertainties, external disturbances are formulated into different types of disturbances. In the proposed approach, the drift filter is designed to estimate the inertial sensor drift for compensating. The robust H filtering is designed to attenuate norm bounded uncertain disturbances. Finally, simulations for in-flight alignment of an integrated INS/GPS system are given to show the efficiency of the proposed approach.
Keywords :
Global Positioning System; H filters; inertial navigation; drift filter; external disturbances; inertial navigation system; inertial sensor drift; initial alignment; integrated INS-GPS system; noise analysis; robust H filtering; robust in-flight alignment approach; Estimation error; Global Positioning System; Inertial navigation; Kalman filters; Noise; Robustness; In-flight alignment; Inertial Navigation System; Initial alignment; Multiple disturbances; Robust filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640332
Link To Document :
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