Application of Magnetic Filter Technology in Improving the Precision of a Micro Attitude Reference System

Abstract:

A micro attitude reference system is vulnerable to overload interference. To solve this problem, a type of Kalman filter was designed on the basis of a geomagnetic technique. Allan variance analysis was used to improve the Sage–Husa adaptive filter algorithm. Attitude error and gyro drifts were used as state variables for adaptive filtering updates, and a three-component magnetic vector was used for adaptive filtering measurement updates. Experimental results show that the pitch accuracy of the attitude reference system with magnetic filter technology working in 2 g vibrations improves by 4.7 times, the roll accuracy improves by 1.5 times, and the heading accuracy improves by 5.4 times. The proposed method can effectively reduce overload interference and ensure angular accuracy.

• Periodical: Key Engineering Materials (Volumes 645-646)
• Pages: 888-895
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.645-646.888
• Online since: May 2015
• Authors: Guang Min Yuan*, Xiao Rui Cao, Yan Ming Zhao, Ping Wang, Jian Bin Xie, Hong Long Chang
• Keywords: Allan Variance, Magnetic Filter Technology, Overload Interference, Sage–Husa Adaptive Filter, Three-Component Magnetic Vector

References

[1] ZeMin Li, FengYang Duan, ZanPing Li. Design of digital attitude heading reference system based on MEMS sensor. Transducer and Microsystem Technologies. 2012, 6, pp.94-100.

[2] YuTao Zhai, Qiang Wei, XiaoHao Wang, ZhaoYing Zhou. Micro Attitude Determination System Based on MEMS Inertial Sensors. Nanotechnology and Precision Engineering. 2009, 4, pp.375-379.

[3] XUE Lang, LI Tian-zhi, LI Xiao-ying, CHANG Hong-long. Study of Micro Attitude Determination System Based on MEMS Sensors. Chinese journal of sensors and actuators. 2008, 3, pp.457-460.

[4] Fang Wang, ShaoHua Zhu, HongJie Lei, Algorithm design of digital strapdown attitude and head reference system based on Kalman filter. 2008, 2, pp.208-211.

[5] WEI Ping, HAN Bo, LI Ping. The Design and Realization of AHRS Based S3C44BOX. Mechanical and Electrical Engineering Magazine. 2006,. 4, pp.17-20.

[6] Du Yaling, Liu Jianye, Li Rongbing, Lai Jizhou. Strapdown Inertia Attitude Heading Reference System Based on DSP. Chinese Journal of Scientific Instrument. 2005, S1, pp.365-376.

[7] Liang Jianhong, Tian Weicheng, Wang Tianmiao. Design of AHRS Based on ARM and Low-cost MEMS Devices. Microcontrollers & Embedded Systems. 2012, 5, pp.1-4.

[8] Sage A P, Husa G W. Adaptive Filtering with Unknown Prior Statistics. Proceedings of Joint Automatic Control Conference. Boulder Colorado, 1969, pp.760-769.

[9] Qin Longyuan, Zhang Hongyue, Wang Shuhua. Kalman filter and the principle of integrated navigation. Northwestern Polytechnical University : Xi'an, China, 2012. pp.130-134.

[10] Yan Gongmin, Li Sihai, Qin Yongyuan. Test and data analysis of inertial instrument. National Defence Industry : Beijing , China, 2012. pp.245-248.

[11] Callier F M and Desoer C A. Linear system theory. Springer-Verlag: New York, USA. 1991. pp.85-97.