Calibration of MEMS Accelerometer Using Kaiser Filter and the Ellipsoid Fitting Method

Cui, Shiwei; Cui, Lingguo; Du, Yidong; Chai, Senchun; Zhang, Baihai

doi:10.23919/chicc.2018.8483761

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…According to [45], [46], the covariance of the states communicated through implies of a mistake state (∆𝑥 ̂𝑘) is known as the value desire of the state as in (5).…”

Section: Kalman Filtermentioning

confidence: 99%

Self-test and calibration methods for micro electro-mechanical systems

Ahmed

Al-Gayem²

2023

TELKOMNIKA

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For the testing of micro electro-mechanical systems, we propose a taxonomy of built-in self-testing methods. These solutions that are non-intrusive, cost-effective and are typically non-intrusive during the testing process are being actively sought after as the cost of micro-electro-mechanical systems (MEMS) testing can account for 50% of the total cost of the end product. The selection of testing methods is analyzed extensively, and a classification table for such methods is presented according to three performance metrics: ease of application, test application, usefulness. Performance table also provides a field test domain for the method. While built-in-self-test (BIST) methods do depend on the application at hand, utilizing the inherent multimodal sensing capability of most sensors could be a promising approach for effective built-in self-test.

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“…According to [45], [46], the covariance of the states communicated through implies of a mistake state (∆𝑥 ̂𝑘) is known as the value desire of the state as in (5).…”

Section: Kalman Filtermentioning

confidence: 99%

Self-test and calibration methods for micro electro-mechanical systems

Ahmed

Al-Gayem²

2023

TELKOMNIKA

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“…There are several different errors and temperature-dependent models for triaxial MEMS sensors and corresponding calibration methods based on different principles, but they have restrictions, for instance, the need to provide accurate platforms for precise alignment or other temperature compensation devices. It is not sufficient for manufacturers to perform only basic calibration of low-cost sensors, as even small uncompensated coefficients can lead to inaccurate tilt angle estimation and increased bias in position measurements [ 13 , 14 , 15 , 16 ]. These requirements increase manufacturing costs.…”

Section: Introductionmentioning

confidence: 99%

Thermal Calibration of Triaxial Accelerometer for Tilt Measurement

Yuan

Tang

Zhang

et al. 2023

Sensors

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The application of MEMS accelerometers used to measure inclination is constrained by their temperature dependence, and each accelerometer needs to be calibrated individually to increase stability and accuracy. This paper presents a calibration and thermal compensation method for triaxial accelerometers that aims to minimize cost and processing time while maintaining high accuracy. First, the number of positions to perform the calibration procedure is optimized based on the Levenberg-Marquardt algorithm, and then, based on this optimized calibration number, thermal compensation is performed based on the least squares method, which is necessary for environments with large temperature variations, since calibration parameters change at different temperatures. The calibration procedures and algorithms were experimentally validated on marketed accelerometers. Based on the optimized calibration method, the calibrated results achieved nearly 100 times improvement. Thermal drift calibration experiments on the triaxial accelerometer show that the thermal compensation scheme in this paper can effectively reduce drift in the temperature range of −40 °C to 60 °C. The temperature drifts of x- and y-axes are reduced from −13.2 and 11.8 mg to −0.9 and −1.1 mg, respectively. The z-axis temperature drift is reduced from −17.9 to 1.8 mg. We have conducted various experiments on the proposed calibration method and demonstrated its capacity to calibrate the sensor frame error model (SFEM) parameters. This research proposes a new low-cost and efficient strategy for increasing the practical applicability of triaxial accelerometers.

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“…MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions, or products referred to in the content. measurements [13][14][15][16]. These requirements increase manufacturing costs.…”

Section: Introductionmentioning

confidence: 99%

Thermal Calibration of Triaxial Accelerometer for Tilt Measurement

Yuan¹,

Tang²,

Zhang³

et al. 2022

Preprint

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This paper presents a calibration and thermal compensation method that aims to minimize cost and processing time while maintaining high accuracy. First, the number of positions to perform the calibration procedure is optimized, and then, based on this optimized calibration number, thermal compensation is performed, which is necessary for environments with large temperature variations, since calibration parameters change at different temperatures. The calibration procedures and algorithms were experimentally validated on marketed accelerometers. Based on the optimized calibration method, the calibrated results have been obtained nearly 100 times improvement. Thermal drift calibration experiments on the triaxial accelerometer show that the thermal compensation scheme in this paper can effectively reduce drift in the temperature range of -40°C to 60°C. The temperature drifts of x- and y-axes are reduced from -13.2 and 11.8 mg to -0.9 and -1.1 mg, respectively. The z-axis temperature drift is reduced from -17.9 to 1.8 mg. We have conducted various experiments on the proposed calibration method and demonstrated its capacity to calibrate the sensor frame error model (SFEM) parameters. Therefore, the MEMS sensors calibrated in this paper have certain engineering application values for tilt measurement.

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Calibration of MEMS Accelerometer Using Kaiser Filter and the Ellipsoid Fitting Method

Cited by 9 publications

References 27 publications

Self-test and calibration methods for micro electro-mechanical systems

Self-test and calibration methods for micro electro-mechanical systems

Thermal Calibration of Triaxial Accelerometer for Tilt Measurement

Thermal Calibration of Triaxial Accelerometer for Tilt Measurement

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