Welcome to Francis Academic Press

Academic Journal of Computing & Information Science, 2020, 3(4); doi: 10.25236/AJCIS.2020.030413.

Design of Strapdown Inertial Navigation System Based on MEMS

Author(s)

Jianpeng Chen*, Zhen Yang, Sisi Ye and Qingsong Lu

Corresponding Author:
Jianpeng Chen
Affiliation(s)

School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
*Corresponding author

Abstract

The development of strap-down inertial navigation system is becoming more and more mature. This paper proposes a design scheme of cheap inertial navigation system for satellite earth station based on MEMS. This article mainly expounds the principles and characteristics of strap-down inertial navigation, geomagnetic orientation, and micro-electromechanical systems. After considering their respective advantages, a filtering algorithm based on Kalman filtering is designed on this basis. This navigation system is combined to form a new combined system. Finally, the feasibility of the system is proved through experiments, which verifies the excellent characteristics and practical value of the system.

Keywords

Inertial navigation, Attitude angle, Geomagnetic orientation, Kalman filtering, Integrated navigation system

Cite This Paper

Xinyan Zhang, Xiaofeng Wang. Design of Strapdown Inertial Navigation System Based on MEMS. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 4: 110-121. https://doi.org/10.25236/AJCIS.2020.030413.

References

[1] G.Q. Yi (1987). Principle of Inertial Navigation [M]. 1st Edition, Beijing: Aviation Industry Press, p.45-50.
[2] DAVID H.TITTERTON,JOHN L.WESTON (2011). Strap-down Inertial Navigation Technology [M]. 2nd Edition, London: Peter Peregrinus Ltd, p.60-80.
[3] KAZUSUKE and MAENAKA. Currten MEMS Technology and MEMS Sensors Focusing on Inertial Sensors [C]. ICSICT, Beijing, China, 2008, p.2371-2374.
[4] HULSING,R. MEMS inertial rate and acceleration sensor [J]. IEEE Aerospace & Electronic Systems Magazine, 1998, 13 (11): 17-23.DOI:10.1109/62.730613.
[5] J.Q. Zhang. Research and Design of Embedded Integrated Navigation System Based on MEMS [D]. Hunan University, 2013
[6] X.Y. Ren. Research on SINS/GPS/OD Fault Tolerant Integrated Navigation System [D]. Huazhong University of Science and Technology, 2019, DOI: 10.27157/d.cnki.ghzku.2019.001902
[7] X.M. Tan, N. Liu, Z. Su, H.L. Wang. Research on MINS Vehicle Navigation Method Based on Satellite Assist [C]. 2020 China Simulation Conference, Beijing, China, 2020, p.158-160.
[8] Y.F. Yang, Y. Xie. Simulation Generation Method for Space Target Trajectory of Shipborne TT&C Radar [J]. Telecommunications Technology Journal, 2008, No.09, p.71-74.
[9] G.W. Zhou. Research on High-precision Geomagnetic Directional Magnetic Field Interference Correction Technology [D]. Harbin Institute of Technology, 2019
[10] B.Q. Liu, Y. Lv, S.M. Yin, Y. Yang. A fast alignment method for strapdown inertial navigation during erection [J]. Journal of Ordnance Equipment Engineering, 2018, No.03, p.169-173.
[11] M.Y. Fu, Zh.H. Deng, L.P. Yan. Kalman Filtering Theory and Its Application in Navigation System [M]. 2nd Edition. Beijing: Science Press, 2010, p.1-4.
[12] B.J. Cai, L. Zhao, J.W. Li, Z.J. Li. Robust Kalman filter algorithm based on Newton interpolation [J]. Journal of Navigation and Positioning, 2020, No.05, p.49-56.DOI:10.16547/j.cnki.10-1096.20200508.