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A Triaxial Accelerometer Calibration Method Using a Mathematical Model

delete2010-08-01
delete143
PRE
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F
Farid Golnaraghi
DOI:10.1109/TIM.2009.2031849delete
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摘要

摘要

En 中文
This paper presents a new triaxial accelerometer calibration method using a mathematical model of six calibration parameters: three gain factors and three biases. The fundamental principle of the proposed calibration method is that the sum of the triaxial accelerometer outputs is equal to the gravity vector when the accelerometer is stationary. The proposed method requires the triaxial accelerometer to be placed in six different tilt angles to estimate the six calibration parameters. Since the mathematical model of the calibration parameters is nonlinear, an iterative method is used. The results are verified via simulations by comparing the estimated gain factors and biases with the true gain factors and biases. The simulation results confirm that the proposed method is applicable in extreme cases where the gain factor is 1000 V/(m/s(2)) and the bias is +/-100 V, as well as the cases where the gain factor is 0.001 V/(m/s(2)) and the bias is 0 V. The proposed calibration method is also experimentally tested with two different triaxial accelerometers, and the results are validated using a mechanical inclinometer. The experimental results show that the proposed method can accurately estimate gain factors and biases even when the initial guesses are not close to the true values. In addition, the proposed method has a low computational cost because the calculation is simple, and the iterative method usually converges within three iteration steps. The error sources of the experiments are discussed in this paper.
Keyword:
Acceleration measurement
calibration
gravity measurement
iterative method
parameter estimation

期刊

IEEE Transactions on Instrumentation and Measurement 封面图
IEEE Transactions on Instrumentation and Measurement
IF:
5.9
论文数:
2.0W
被引数:
5.8W

机构

S
Simon Fraser University
学者数:
1.0W
论文数: 1.0W
被引数: 1.4W
U
University of Waterloo
学者数:
2.2W
论文数: 2.3W
被引数: 3.3W
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