In-Field MEMS Accelerometer Calibration Considering Cross-Axis Sensitivities Without External Equipment

A novel in-field calibration method for microelectromechanical system (MEMS) triaxial accelerometers was proposed to simplify the data collection procedure and improve the calibration accuracy in this paper, considering cross-axis sensitivities without the need for external equipment. MEMS accelerometers were placed at six positions on a simple platform, in contrast to the at least twelve positions required by other in-field calibration methods. To enhance calibration accuracy, the cross-axis sensitivities were introduced into the sensor error model comprising eighteen calibration parameters. The proposed calibration method was verified by simulations and real experiments, and the errors of scale factor, zero offset, misalignment factor, and cross-axis sensitivity are within 0.002%, 0.07 mg, 4×10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup>, and 8×10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup>, respectively. Compared with the existing in-field calibration methods, the proposed method’s output modulus errors are less than 0.51% whereas the others exceed 0.80%. The test results demonstrate that the attitude angle error obtained by the new method is less than 0.2°, confirming the effectiveness of the proposed method. The new method offers higher calibration accuracy and does not depend on external high-precision equipment, making it suitable for in-field calibration of MEMS triaxial accelerometers.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-09
DOI
https://doi.org/10.1109/jsen.2025.3557731
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

In-Field MEMS Accelerometer Calibration Considering Cross-Axis Sensitivities Without External Equipment

Fangxing Lyu, Nan Zhang, Fei Li, Deming Wang et al.
IEEE Sensors Journal
Advanced MEMS and NEMS Technologies
article

In-Field MEMS Accelerometer Calibration Considering Cross-Axis Sensitivities Without External Equipment

Fangxing Lyu, Nan Zhang, Fei Li, Deming Wang, Long Xu
article en

Abstract

A novel in-field calibration method for microelectromechanical system (MEMS) triaxial accelerometers was proposed to simplify the data collection procedure and improve the calibration accuracy in this paper, considering cross-axis sensitivities without the need for external equipment. MEMS accelerometers were placed at six positions on a simple platform, in contrast to the at least twelve positions required by other in-field calibration methods. To enhance calibration accuracy, the cross-axis sensitivities were introduced into the sensor error model comprising eighteen calibration parameters. The proposed calibration method was verified by simulations and real experiments, and the errors of scale factor, zero offset, misalignment factor, and cross-axis sensitivity are within 0.002%, 0.07 mg, 4×10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup>, and 8×10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup>, respectively. Compared with the existing in-field calibration methods, the proposed method’s output modulus errors are less than 0.51% whereas the others exceed 0.80%. The test results demonstrate that the attitude angle error obtained by the new method is less than 0.2°, confirming the effectiveness of the proposed method. The new method offers higher calibration accuracy and does not depend on external high-precision equipment, making it suitable for in-field calibration of MEMS triaxial accelerometers.

IEEE Sensors JournalVol. 25(10)
Xi'an Shiyou University (CN)
Natural Science Basic Research Program of Shaanxi Province
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced MEMS and NEMS Technologies
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In-Field MEMS Accelerometer Calibration Considering Cross-Axis Sensitivities Without External Equipment — Fangxing Lyu, Nan Zhang, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS