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SIMU/Triple star sensors integrated navigation method of HALE UAV based on atmospheric refraction correction

Published online by Cambridge University Press:  08 February 2022

Ziqian Gao Open the ORCID record for Ziqian Gao [Opens in a new window] ,
Haiyong Wang ,
Weihong Wang  and
Yuan Xu
Ziqian Gao
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China.
Haiyong Wang*
Affiliation:
School of Astronautics, Beihang University, Beijing, China.
Weihong Wang
Affiliation:
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China.
Yuan Xu
Affiliation:
Shandong Institute of Space Electronic Technology, Yantai, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

To achieve autonomous all-day flight by high-altitude long-endurance unmanned aerial vehicle (HALE UAV), a new navigation method with deep integration of strapdown inertial measurement unit (SIMU) and triple star sensors based on atmospheric refraction correction is proposed. By analysing the atmospheric refraction model, the stellar azimuth coordinate system is introduced and the coupling relationship between attitude and position is established. Based on the geometric relationship whereby all the stellar azimuth planes intersect on the common zenith direction, the sole celestial navigation system (CNS) method by stellar refraction with triple narrow fields of view (FOVs) is studied and a loss function is built to evaluate the navigation accuracy. Finally, the new SIMU/triple star sensors deep integrated navigation method with refraction correction upgraded from the traditional inertial navigation system (INS)/CNS integrated method can be established. The results of simulations show that the proposed method can effectively restrain navigation error of a HALE UAV in 24 h steady-state cruising in the stratosphere.

Keywords

atmospheric refractonHALE UAVtriple-FOV star sensorsintegrated navigation
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 3 , May 2022 , pp. 704 - 726
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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