Hostname: page-component-cb9f654ff-65tv2 Total loading time: 0 Render date: 2025-09-04T21:31:34.633Z Has data issue: false hasContentIssue false
  • English
  • Français

A High-accuracy SINS/CNS Integrated Navigation Scheme Based on Overall Optimal Correction

Published online by Cambridge University Press:  12 July 2018

Jiafang Zhu ,
Xinlong Wang ,
Hengnian Li ,
Huan Che  and
Qunsheng Li
Jiafang Zhu
Affiliation:
(School of Astronautics, Beihang University, China)
Xinlong Wang*
Affiliation:
(School of Astronautics, Beihang University, China)
Hengnian Li
Affiliation:
(State Key Lab of Astronautical Dynamics, Xi'an Satellite Control Center, Xi'an 710043, China)
Huan Che
Affiliation:
(Space Star Technology Co., Ltd, Beijing 100086, China)
Qunsheng Li
Affiliation:
(School of Instrumentation Science and Opto-electronics Engineering, Beihang University, China)
*
(E-mail: xlwon@163.com)
Get access Rights & Permissions [Opens in a new window]

Abstract

In order to utilise the position and attitude information of a Celestial Navigation System (CNS) to aid a Strapdown Inertial Navigation System (SINS) and make it possible to achieve long-range and high-precision navigation, a new SINS/CNS integrated navigation scheme based on overall optimal correction is proposed. Firstly, the optimal installation angle of the star sensor is acquired according to the geometric relationship between the refraction stars area and the star sensor's visual field. Secondly, an analytical method to determine position and horizontal reference is introduced. Thirdly, the mathematical model of the SINS/CNS integrated navigation system is established. Finally, some simulations are carried out to compare the navigation performance of the proposed SINS/CNS integrated scheme with that of the traditional gyro-drift-corrected integration scheme. Simulation results indicate that in the proposed scheme, without the aid of SINS, CNS can provide attitude and position information and the errors of the SINS are able to be estimated and corrected efficiently. Therefore, the navigation performance of the proposed SINS/CNS scheme is superior to that of a more traditional scheme in long-range flight.

Keywords

SINSCNSIntegrated NavigationOverall Optimal Correction

Information

Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 6 , November 2018 , pp. 1567 - 1588
Copyright
Copyright © The Royal Institute of Navigation 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

Hays, P.B. and Roble, R.G (1967). Stellar spectra and atmospheric composition. Journal of the Atmospheric Sciences, 25(6), 1101–1104.Google Scholar
Høg, E., Fabricius, C., Makarov, V.V, Urban, S., Corbin, T., and Wycoff, G, et al. (2000). The tycho-2 catalogue of the 2.5 million brightest stars. Astronomy & Astrophysics, 355(1), L27–L30.Google Scholar
Hong, D., Liu, G, Chen, H. and Deng, C. (2010). Application of EKF for missile attitude estimation based on “SINS/CNS” integrated guidance system. International Symposium on Systems and Control in Aeronautics and Astronautics, IEEE, 1101–1104.Google Scholar
He, Z., Wang, X. and Fang, J. (2014). An innovative high-precision SINS/CNS deep integrated navigation scheme for the Mars rover. Aerospace Science and Technology, 39, 559–566.Google Scholar
Li, H., Li, Y. and Ning, W. (2008). SINS/CNS/GNSS integrated navigation system based on CNS simulator for ballistic missile. Journal of Projectiles Rockets Missiles & Guidance, 28(1), 61–63.Google Scholar
Ma, P., Jiang, F. and Baoyin, H. (2015). Autonomous Navigation of Mars Probes by Combining Optical Data Viewing Martian Moons and SST Data. The Journal of Navigation, 68(6), 1019–1040.Google Scholar
Ning, X., Wang, L., Bai, X. and Fang, J. (2013). Autonomous satellite navigation using starlight refraction angle measurements. Advances in Space Research, 51(9), 1761–1772.Google Scholar
Qian, H., Sun, L., Cai, J. and Huang, W. (2014). A starlight refraction scheme with single star sensor used in autonomous satellite navigation system. Acta Astronautica, 96, 45–52.Google Scholar
Qu, C., Xu, H. and Tan, Y. (2011). SINS/CNS integrated navigation solution using adaptive unscented Kalman filtering. International Journal of Computer Applications in Technology, 41(1–2), 109–116.Google Scholar
Quan, W., Fang, J., Xu, F. and Sheng, W. (2008). Hybrid simulation system study of SINS/CNS integrated navigation. IEEE Aerospace & Electronic Systems Magazine, 23(2), 17–24.Google Scholar
Quan, W. and Fang, J. (2012). Research on FKF method based on an improved genetic algorithm for multi-sensor integrated navigation system. The Journal of Navigation, 65(3), 495–511.Google Scholar
Wang, X. and Ma, S. (2009). A celestial analytic positioning method by stellar horizon atmospheric refraction. Chinese Journal Aeronautics, 22(3), 293–300.Google Scholar
Wang, X., Wang, B. and Li, H. (2012). An autonomous navigation scheme based on geomagnetic and starlight for small satellites. Acta Astronautica, 81(1), 40–50.Google Scholar
Wang, H., Zhou, W., Cheng, X. and Lin, H. (2012). Image smearing modeling and verification for strapdown star sensor. Chinese Journal of Aeronautics, 25(1), 115–123.Google Scholar
Wang, Y., Zheng, W., An, X., Sun, S. and Li, L. (2013). XNAV/CNS integrated navigation based on improved kinematic and static filter. The Journal of Navigation, 66(6), 899–918.Google Scholar
Wu, H., Yu, W. and Fang, J. (2006). Simulation of SINS/CNS integrated navigation system used on high altitude and long-flight-time unpiloted aircraft. Acta Aeronautica Et Astronautica Sinica, 27(2), 299–304.Google Scholar
Wu, X. and Wang, X. (2011). A SINS/CNS deep integrated navigation method based on mathematical horizon reference. Aircraft Engineering and Aerospace Technology, 83(1), 26–34.Google Scholar
Yang, J. and Wang, Y. (2013). Initial alignment error and navigation error compensation methods for SINS/CNS integration. In Applied Mechanics and Materials, 390, 490–494.Google Scholar
Yang, S., Yang, G, Zhu, Z. and Li, J. (2015). Stellar Refraction-Based SINS/CNS Integrated Navigation System for Aerospace Vehicles. Journal of Aerospace Engineering, 29(2), 04015051.Google Scholar
Yang, B., Si, F., Xu, F. and Zhou, W. (2014). Adaptive measurement model of navigation by stellar refraction based on multiple models switching. Journal of Navigation, 67(4), 673–685.Google Scholar
Zhang, T., and Zhang, J. (2009). An integrated inertial double-star/celestial navigation system for ballistic missile. Computer Simulation, 26(3), 40–40.Google Scholar
Zhang, D., Fu, K., Ge, S. and Tang, Z. (2014). Analysis of filtering methods for the SINS/CNS integrated navigation system of missile motion. Intelligent Control and Automation, IEEE, 103, 3854–3859.Google Scholar