Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base

doi:10.23919/JSEE.2023.000112

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (5): 1333-1342.doi: 10.23919/JSEE.2023.000112

• Control Theory and Application • Previous Articles Next Articles

Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base

Haijian XUE¹(), Tao WANG¹^,*(), Xinghui CAI¹(), Jintao WANG¹(), Fei LIU²()

¹ High-Tech Institute of Xi’an, Xi’an 710025, China
² Military Representative Office of Rocket Army Equipment Department, Qingdao 266071, China

Received:2022-04-01 Online:2023-10-18 Published:2023-10-30
Contact: Tao WANG E-mail:xhaijian2012@126.com;wtao009@163.com;281474061@qq.com;wangjintaolove@126.com;536758423@qq.com
About author:
XUE Haijian was born in 1986. He received his Ph.D. degree in armament science and technology from High-Tech Institute of Xi’an in 2017. He is a lecturer in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and multi-source information fusion. E-mail: xhaijian2012@126.com

WANG Tao was born in 1978. He received his Ph.D. degree in mechanics from Xi’an Jiaotong University in 2022. He is a professor in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and warhead engineering. E-mail: wtao009@163.com

CAI Xinghui was born in 1975. He received his Ph.D. degree in nuclear science and technology from Xi’an Jiaotong University in 2013. He is an associate professor in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and information integration. E-mail: 281474061@qq.com

WANG Jintao was born in 1985. He received his Ph.D. degree in armament science and technology from High-Tech Institute of Xi’an in 2015. He is an associate professor in High-Tech Institute of Xi’an. His research interests are on-board integrated navigation and warhead engineering. E-mail: wangjintaolove@126.com

LIU Fei was born in 1988. He received his bachelor’s degree in weapon launch engineering from High-Tech Institute of Xi’an in 2010. He is an engineer in Military Representative Office of Rocket Army Equipment Department in Qingdao. His research interests are on-board integrated navigation and initial alignment. E-mail: 536758423@qq.com
Supported by:
This work was supported by the National Natural Science Foundation of China (41174162)

Abstract

Abstract:

The performance of a strapdown inertial navigation system (SINS) largely depends on the accuracy and rapidness of the initial alignment. A novel anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base is presented in this paper. The algorithm transforms the initial alignment into the initial attitude determination problem by using infinite vector observations to remove the angular motions, the SINS alignment is heuristically established as an optimization problem of finding the minimum eigenvector. In order to further improve the alignment precision, an adaptive recursive weighted least squares (ARWLS) curve fitting algorithm is used to fit the translational motion interference-contaminated reference vectors according to their time domain characteristics. Simulation studies and experimental results favorably demonstrate its rapidness, accuracy and robustness.

Key words: strapdown inertial navigation system (SINS), initial alignment, anti-interference, rocking base, adaptive recursive weighted least squares (ARWLS)

Haijian XUE, Tao WANG, Xinghui CAI, Jintao WANG, Fei LIU. Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base[J]. Journal of Systems Engineering and Electronics, 2023, 34(5): 1333-1342.

Figures/Tables 14

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References 28

1	TITTERTON D H, WESTON J L. Strapdown inertial navigation technology. 2nd ed. London: The Institution of Engineering and Technology, 2004.
2	CHANG L B, LI J S, CHEN S Y Initial alignment by attitude estimation for strapdown inertial navigation systems. IEEE Trans. on Instrumentation and Measurement, 2015, 64 (3): 784- 794. doi: 10.1109/TIM.2014.2355652
3	ALI J, USHAQ M A consistent and robust Kalman filter design in-motion of inertial navigation system. Measurement, 2009, 42, 577- 582. doi: 10.1016/j.measurement.2008.10.002
4	SILSAON, PETER M G Coarse alignment of a ship’s strapdown inertial attitude reference system using velocity loci. IEEE Trans. on Instrumentation and Measurement, 2011, 60 (6): 1930- 1941. doi: 10.1109/TIM.2011.2113131
5	WU Y X, ZHANG H L, WU M P, et al Observability of strapdown INS alignment: a global perspective. IEEE Trans. on Aerospace and Electronic Systems, 2012, 48 (1): 78- 102. doi: 10.1109/TAES.2012.6129622
6	BEN Y Y, SUN Y, WANG X Y, et al Method of coarse alignment during voyages of vessel SINS aided by satellites. Systems Engineering and Electronics, 2018, 40 (12): 2797- 2803.
7	JIANG C F, WAN D J A fast initial alignment method for strapdown inertial navigation system on stationary base. IEEE Trans. on Aerospace and Electronic Systems, 1996, 32 (4): 1501- 1504. doi: 10.1109/7.543871
8	SCHIMELEVICH J, NAOR R. New approach to coarse alignment. Proc. of the IEEE Position Location and Navigation Symposium, 1996: 324−327
9	EL-SHEIMY N, NASSAR S Wavelet de-noising for IMU alignment. IEEE Trans. on Aerospace and Electronic Systems, 2004, 40 (10): 32- 39.
10	GU D, EL-SHEIMY N, HASSAN T, et al. Coarse alignment for marine SINS using gravity in the inertial frame as a reference. Proc. of the IEEE/ION Postition, Location and Navigation Symposium, 2008: 961−965.
11	XU Z H, ZHOU Z F, CHANG Z J Initial alignment method based on information reuse and algorithm fusion. Systems Engineering and Electronics, 2021, 43 (5): 1310- 1315.
12	WU Y X, PAN X F Velocity/position integration formula part I: application to in-flight coarse alignment. IEEE Trans. on Aerospace and Electronic Systems, 2013, 49 (2): 1006- 1023. doi: 10.1109/TAES.2013.6494395
13	WANG Z W, QIN JQ, YANG G L, et al Analytical method for moving base initial alignment based on gravity measurement. Journal of Vibration and Shock, 2018, 37 (3): 143- 146.
14	JAMES R Three-axis attitude determination methods. Spacecraft Attitude Determination and Control, 1978, 73, 410- 435.
15	SHUSTER M D, OH S D Three-axis attitude determination from vector observations. Journal of Guidance, Control and dynamics, 1981, 4 (1): 70- 77. doi: 10.2514/3.19717
16	BAR-ITZHACK I Y, HARMAN R R Optimized TRIAD algorithm for attitude determination. Journal of Guidance, Control and Dynamics, 1997, 20 (1): 208- 221. doi: 10.2514/2.4025
17	WAHBA G A least squares estimate of spacecraft attitude. SIAM Review, 1965, 7 (3): 409- 411.
18	SHUSTER M D. Approximate algorithms for fast optimal attitude computation. Proc. of the AIAA Guidance and Control Conference, 1978: 7−9.
19	WU M P, WU Y X, HU X P, et al Optimization-based alignment for inertial navigation systems: theory and algorithm. Aerospace Science and Technology, 2011, 15 (1): 1- 17. doi: 10.1016/j.ast.2010.05.004
20	LI J S, XU J N, CHANG L B, et al An improved optimal method for initial alignment. The Journal of Navigation, 2014, 67, 727- 736. doi: 10.1017/S0373463314000198
21	GUO Y S, FU M Y, DENG Z H, et al Application of quaternion estimator algorithm dedicated on alignment of swaying and moving carrier. Journal of Chinese Inertial Technology, 2017, 25 (2): 182- 185.
22	YAN G M, LI S J, GAO W S, et al An improvement for SINS anti-rocking alignment under geographic latitude uncertainty. Journal of Chinese Inertial Technology, 2020, 28 (2): 141- 146.
23	SAVEGE P G Strapdown inertial navigation integration algorithm design part 1: attitude algorithms. Journal of Guidance, Control and Dynamics, 1998, 21 (1): 19- 28. doi: 10.2514/2.4228
24	SAVEGE P G Strapdown inertial navigation integration algorithm design part 2: velocity and position algorithms. Journal of Guidance, Control and Dynamics, 1998, 21 (2): 208- 221. doi: 10.2514/2.4242
25	WU Y X, HU D W, WU M P, et al Observability analysis of rotation estimation by fusing inertial and line-based visual information: a revisit. Automatica, 2006, 42 (10): 1809- 1812. doi: 10.1016/j.automatica.2006.05.005
26	NADLER A, BAR-ITZHACK, HAIM W. On algorithms for attitude estimation using GPS. Proc. of the 39th IEEE Conference on Decision and Control, 2000. DOI: 10.1109/CDC.2000.912212.
27	PANUSKA V A new form of the extended Kalman filter for parameter estimation in linear systems with correlated noise. IEEE Trans. on Automatic Control, 1980, 25 (2): 229- 235. doi: 10.1109/TAC.1980.1102269
28	JANKOVIC M S Exact nth derivatives of eigenvalues and eigenvectors. Journal of Guidance, Control and Dynamics, 1994, 17 (1): 136- 144. doi: 10.2514/3.21170

Parameter	Value
Gyroscope dynamic range/(°/s)	±200
Gyroscope constant drift/(°/h)	0.01
Gyroscope random drift/(°/h)	0.01
Accelerometer dynamic range	±30 g
Accelerometer bias	100 μg
Accelerometer random drift	100 μg

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[2]	Gongmin Yan, Xi Sun, Jun Weng, Qi Zhou, and Yongyuan Qin. Time-asynchrony identification between inertial sensors in SIMU [J]. Journal of Systems Engineering and Electronics, 2015, 26(2): 346-352.
[3]	Tong Zhang, Kang Chen, Wenxing Fu, Yunfeng Yu, and Jie Yan. Optimal two-iteration sculling compensation mathematical framework for SINS velocity updating [J]. Journal of Systems Engineering and Electronics, 2014, 25(6): 1065-1071.
[4]	Yu Chen and Yan Zhao*. New rapid transfer alignment method for SINS of airborne weapon systems [J]. Journal of Systems Engineering and Electronics, 2014, 25(2): 281-287.
[5]	Jingshuo Xu, Yongjun Wang, and Zhicai Xiao. Rapid transfer alignment for SINS of carrier craft [J]. Journal of Systems Engineering and Electronics, 2013, 24(2): 303-308.
[6]	Weiren Wu, Xiaolin Ning, and Lingling Liu. New celestial assisted INS initial alignment method for lunar explorer [J]. Journal of Systems Engineering and Electronics, 2013, 24(1): 108-117.
[7]	Wei Sun and Feng Sun. Novel approach to GPS/SINS integration for IMU alignment [J]. Journal of Systems Engineering and Electronics, 2011, 22(3): 513-518.
[8]	Qian Weixing, Liu Jianye, Zhao Wei & Zhu Yanhua. Novel method of improving the alignment accuracy of SINS on revolving mounting base [J]. Journal of Systems Engineering and Electronics, 2009, 20(5): 1052-1057.
[9]	Zhang Shibing & Zhang Lijun. Anti-interference ultra-wideband system based on spreading and interleaving [J]. Journal of Systems Engineering and Electronics, 2007, 18(2): 236-242.

Anti-interference self-alignment algorithm by attitude optimization estimation for SINS on a rocking base

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