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Research on Segmented Weighted Multi-vector Attitude Determination Method Based on On-Orbit Accuracy of Star Sensors

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Signal and Information Processing, Networking and Computers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 917))

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Abstract

A segmented weighted multi-vector attitude determination method based on on-orbit accuracy of star sensors is studied to improve the fact that the current attitude determination methods cannot make full use of the measurement data when a large number of star sensors are equipped on a satellite and the problem that the attitude determination accuracy is susceptible to the temporary decline of the measurement accuracy of one single star sensor. The proposed method is based on QUEST algorithm, where the weighted coefficients are meliorated considering the layout angles of star sensors, mechanical installation structure and on-orbit measurement accuracy of star sensors. A mathematical simulation using on-orbit data shows that the attitude determination accuracy can be maintained at the high level, when the measurement accuracy of a star sensor declines.

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References

  1. Zhang, C.B., Tian, W.F., Jin, Z.H.: A novel method improving the alignment accuracy of strapdown inertial navigation system on a stationary base. Meas. Sci. Technol. 15, 765–769 (2004)

    Article  Google Scholar 

  2. Yuan, Q., Zheng, Z., Han, Y.: Error analysis of SINS alignment in inertial frame based on QUEST attitude determination algorithm. Electron. Meas. Technol. 40(7), 67–89 (2017)

    Google Scholar 

  3. Yan, G., Chen, R., Guo, K.: Equivalence analysis between SVD and QUEST for multi-vector attitude determination. J. Chin. Inert. Technol. 27(5) (2019)

    Google Scholar 

  4. Chen, X., Zhang, Z., Shi, H.: Attitude determination algorithm based on star sensor. Control Eng. China 15(3), 253–256 (2008)

    Google Scholar 

  5. Zhou, X., Zhu, P., Zheng, F.: Accuracy analysis of satellite system attitude determination using double star sensors. In: The 19th Remote Sensing Conference of China, pp. 148–153 (2014)

    Google Scholar 

  6. Song, L., Zhang, T., Liang, B., Yang, J.: Attitude determination method based on star sensor. J. Syst. Simul. 22(1), 1–6 (2010)

    Google Scholar 

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Correspondence to Wang Jiawei .

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Jiawei, W., Quan, J., Shaohui, L., Hongtao, G., Fan, M., Xi, C. (2023). Research on Segmented Weighted Multi-vector Attitude Determination Method Based on On-Orbit Accuracy of Star Sensors. In: Sun, J., Wang, Y., Huo, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-19-3387-5_64

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  • DOI: https://doi.org/10.1007/978-981-19-3387-5_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3386-8

  • Online ISBN: 978-981-19-3387-5

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