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Parameter Identification and Temperature Compensation of Quartz Flexible Accelerometer Based on Total Least Squares

Ling Liao and Qiang Li
School of Information Engineering, Southwest University of Science and Technology, Mianyang, China
Abstract—In this paper, the static rolling test of quartz flexible accelerometer in gravitational field is studied. We establish its error model and use the method of total least squares for identification. In addition, we study the influence of environment temperature on the accelerometer. The accelerometer output is corrected by compensation the bias and the scale factor. The results of the comprehensive experiments show that the method of total least square can effectively identify the model parameters of accelerometer. After temperature compensation, the temperature-varying the bias and the scale factor are reduced from 7.201895e-4(g), 3.109124e-4(V/g) to 2.070704e-5(g), 4.407450e-5(V/g). The stability of the accelerometer output signal has been raised an order of magnitude.
 
Index Terms—quartz flexible accelerometer, total least squares, parameter identification, temperature compensation

Cite: Ling Liao and Qiang Li, "Parameter Identification and Temperature Compensation of Quartz Flexible Accelerometer Based on Total Least Squares," International Journal of Signal Processing Systems, Vol. 4, No. 1, pp. 27-31, February 2016. doi: 10.12720/ijsps.4.1.27-31
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