Thermal Modeling and Compensation of MEMS Accelerometer

Article Preview

Abstract:

As for MEMS Micro machined accelerometer, biases characteristic always varies with temperature fluctuations. Through establishing the error model between the MEMS accelerometer biases and the temperature variation in the temperature range of-20 °C ~ 60 °C, studying on the bias changed with thermal variation of MEMS accelerometer, and the test results show that MEMS accelerometer bias caused by temperature change have decreased from more than 5mg to lessen than 1mg before and after compensation. Also based on the temperature error model of the MEMS accelerometer bias in static and dynamic condition, the whole temperature characteristics have been improved to some extent, which would improve the precision in the inertial navigation systems.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1015-1018

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Shi, R., Zhao, J., Qiu, A. P., & Xia, G. M. (2013). Temperature Self-Compensation of Micromechanical Silicon Resonant Accelerometer. Applied Mechanics and Materials, 373, 373-381.

DOI: 10.4028/www.scientific.net/amm.373-375.373

Google Scholar

[2] Titterton D H, Weston J L. Strapdown inertial navigation technology (2nd ed. )[M]. USA: American Institute of Aeronautics and Astronautics, Inc, 2004: 115-126.

Google Scholar

[3] WENG Y, TONG J, LIU Y. Experimental Study on Temperature Characteristicof Micro Machine Accelerometer. Aviation Precision Manufacturing Technology, 2004, 4: 011.

Google Scholar

[4] Abdel-Hamid, W. Accuracy Enhancement of Integrate MEMS-IMU/GPS Systems for Land Vehicular Navigation Applications. PhD Thesis, Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada, (2005).

Google Scholar

[5] Aggarwal P, Syed Z, El-Sheimy N. Thermal calibration of low cost MEMS sensors for land vehicle navigation system, Proceedings of the Vehicular Technology Conference. VTC Spring, IEEE 2008: 2859-2863.

DOI: 10.1109/vetecs.2008.623

Google Scholar

[6] Sun H, Fang J, Li J. Temperature errors modeling for micro inertial measurement unit using multiple regression method. Proceedings of the International Symposium on Intelligent Information Systems and Applications. 2009: 411-415.

Google Scholar