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Mathematical Problems in Engineering
Volume 2016, Article ID 2950376, 10 pages
Research Article

A Temperature Compensation Model for Low Cost Quartz Accelerometers and Its Application in Tilt Sensing

1College of Automation, Chongqing University, Chongqing 400044, China
2College of Computer Science, Chongqing University, Chongqing 400044, China
3Department of Computer and Information Science, University of Macau, Macau
4Zhengzhou Horizon Electronic Science and Technology Co. Ltd., Zhengzhou 450000, China

Received 23 May 2016; Revised 14 July 2016; Accepted 1 August 2016

Academic Editor: Michael Vynnycky

Copyright © 2016 Weibin Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Although the quartz accelerometer has made great advances, the performance, in some specific applications such as tilt sensing, needs to be well compensated in high temperature environment. Based on the high temperature testing of low cost quartz accelerometers, we found that the normalized positive and negative parts are asymmetrical at high temperature and the temperature curve of zero sensor output is related to the roll angle of the sensor. Traditional temperature compensation method only considers the temperature factor and ignores the roll sensitivity, which leads to deteriorated accuracy. To solve this problem, this paper proposes a novel and simple mathematical model to obtain a more accurate expression of zero sensor output, which makes the sensor output more robust at high temperature. Experimental results on two low cost quartz accelerometers demonstrate that the proposed model is feasible and effective, which could reduce the temperature drift error of the sensor output typically from 0.01 g to 0.001 g. Furthermore, we introduce the compensated sensors in the three-axis inclinometer system for tilt sensing, and the evaluation results show that the temperature drift error of the inclination in the range (, ) is reduced typically from to compared to the traditional method.