Temperature Drift Compensation Based on Artificial Fish Swarm Algorithm for Quartz Flexible Accelerometer

Xu Dong Yu; Jin Long Li; Shu Kui Yan; Guo Wei; Geng Li

doi:10.4028/www.scientific.net/AMM.513-517.4030

Paper Titles

Analysis and Application of Multi-Stage Fracture Stimulation in Yanchang Oilfield
p.4012

Study of Chongqing-Sinkiang-Europe International Railway Logistics Process Based on Supply Chain Management
p.4016

Air-Transportation Networks and the Spatial Spreading of Infectious Diseases
p.4020

Stress-Seepage Fully Coupling Model for High Arch Dam
p.4025

Temperature Drift Compensation Based on Artificial Fish Swarm Algorithm for Quartz Flexible Accelerometer
p.4030

RFID-Based Card Reader Design
p.4035

Design of Temperature Measurement System Based on Microcontroller
p.4039

Research on the Mechanical Head of Advanced Intelligent Robot
p.4043

Design of Control System for Monitoring Camera Cleaning Robot
p.4047

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Temperature Drift Compensation Based on Artificial...

Temperature Drift Compensation Based on Artificial Fish Swarm Algorithm for Quartz Flexible Accelerometer

Abstract:

Temperature is an important factor for affecting the accuracy of quartz flexible accelerometer. The relationship of quartz flexible accelerometers drift to temperature should be established accurately which can improve the precision of inertial navigation system. In order to reduce the temperature sensitivity and improve the sensor performance, temperature drift compensation method based on artificial fish swarm (AFS) algorithm is established and the steps and methods are given. The traditional modeling method of stepwise regression is also investigated to provide a comparison with the AFS algorithm. The result shows that the temperature compensation model by AFS algorithm is accurate. The drift instability of accelerometer output is reduced from 160.2ug to 18.0ug over the temperature range from-20°Cto +50°C. The results of the stochastic temperature tests show that this method has reduced the influence of temperature variation effectively and improved the accelerometer accuracy.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

4030-4034

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.4030

Citation:

Cite this paper

Online since:

February 2014

Authors:

Xu Dong Yu*, Jin Long Li, Shu Kui Yan, Guo Wei, Geng Li

Keywords:

Accelerometer Drift, Artificial Fish Swarm Algorithm, Temperature Compensation

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Y.J. Pan, L.L. Li, C.H. Ren, H.L. Luo: Meas. Sci. Technol. Vol. 21 (2010), p.1.

Google Scholar

[2] P.F. Zhang, Y. Wang, X.W. Long, J.X. Tang, G. Li, G.M. Xu: Chin. J. Sens. Actuators Vol. 20 (2007), p.1012. (in Chinese).

Google Scholar

[3] X.F. Li, D.H. Li, J.M. Gao, M.S. Pang: Appl. Mech. Mater. Vol. 249-250 (2013), p.95.

Google Scholar

[4] C.H. Ren, Y.J. pan, J.F. Li, J.J. Liu: Chin. J. Iner. Technol. Vol. 15 (2007), p.366. (in Chinese).

Google Scholar

[5] P.F. Zhang, in Research on strapdown inertial navigation system with mechanically dithered ring laser gyroscope and its real-time temperature compensating approach. Doctor's Degree Thesis of National University of Defense Technology (2006).

Google Scholar

[6] X.L. Li, Z.J. Shao, J.X. Qian: Systems Engineering-Theory&Practice, Vol. 22 (2002), p.32. (in Chinese).

Google Scholar

[7] W. Shen, X.P. Guo, C. Wu, D.S. Wu: Knowl. -Based Syst. Vol. 24 (2011), p.378.

Google Scholar

[8] H.C. Tsai, Y.H. Lin: Appl. Soft Comput. Vol. 11, (2011), p.5367.

Google Scholar

[9] J. Ma: Procedia Eng. Vol. 43, (2012), p.547.

Google Scholar

[10] X.D. Yu, G. Wei, X.W. Long, J.X. Tang: Int. J. Precis. Eng. Manuf. Vol. 14 (2013), p.415.

Google Scholar

[11] G. Wei, G. Li, Y. Wu, X.W. Long: Measurement, Vol. 44 (2011), p.1898.

Google Scholar