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Proceedings Paper

An adaptive segmented information fusion method for attitude determination of nano-spacecrafts
Author(s): Wei Quan; Jiancheng Fang; Lei Guo
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Paper Abstract

Strapdown stellar-inertial integrated attitude determination based on low-cost micro-electromechanical system (MEMS) gyroscopes and a complementary metal-oxide-semiconductor transistor active pixel star sensor is one of the most effective methods for nano-spacecrafts attitude determination. However, the accuracy of attitude determination is low because of non-linearity of the system. Thus, an adaptive segmented information fusion method based on the UKF is presented by taking UKF+QUEST and UKF+optimal REQUEST as two modes of information fusion that can be adaptively switched between. Initially, the gyro drift estimation error is inaccurate, and the UKF+QUEST mode is adopted to quickly estimate the gyro drifts. When the mean-square error matrix of the UKF tends to stabilization, the information fusion mode is adaptively switched to the UKF+optimal REQUEST dual-filter model. The hybrid simulation results show this method not only has higher accuracy in attitude determination but also can quickly estimate gyro drifts.

Paper Details

Date Published: 13 October 2008
PDF: 10 pages
Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71292G (13 October 2008); doi: 10.1117/12.807473
Show Author Affiliations
Wei Quan, Beijing Univ. of Aeronautics and Astronautics (China)
Jiancheng Fang, Beijing Univ. of Aeronautics and Astronautics (China)
Lei Guo, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7129:
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration

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