Temperature Compensation for Mechanically Dithered RLG Bias Based on K-Means Clustering

Article Preview

Abstract:

The temperature characteristic of mechanically dithered ring laser gyroscope (RLG) has been studied, based on temperature experiment. Using the method of clustering, analyzed the output of the temperature sensor. Finally, the segmented data was compensated, and the result was compared with that of full temperature data compensation. The results show that: the model of full temperature data compensation method is incomplete. There is still much room for improvement. In this paper, the segmented data compensation model by using clustering analysis method can compensate the gyro bias, improve the gyro accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

147-150

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wentao. GE, Minggang. CHEN, and Wei. ZHANG, Temperature error modeling and compensation for laser SINS, Journal of Chinese Inertial Technology, vol. 15, p.290–293, (2007).

Google Scholar

[2] Zhongyu. GAO, Inertial Navigation System Technology, Tsinghua University Press, Beijing, in press.

Google Scholar

[3] Xiaoning. ZHAO, Xianluo. LI and Baoquan. LEI, Temperature compensation for ring laser gyro, Journal of Chinese Inertial Technology, vol. 12, pp.55-57, (2004).

Google Scholar

[4] Pengfei. ZHANG, Xingwu. LONG, and Jianxun. TANG, Research on Really Time Temperature Compensation of Mechanically Dithered RLG Bias, Chinese Journal of Sensors and Actuators, vol. 20, pp.1279-1282, (2007).

Google Scholar

[5] Zhao. QI and Tao. HAI, Differential earth mover's distance with its application to visual tracking, IEEE Transaction Pattern Analysis and Machine Intelligence, vol. 3, pp.274-285, (2007).

DOI: 10.1109/tpami.2008.299

Google Scholar