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Published on: February 4, 2018
Lightweight Thermal Compensation Technique for MEMS Capacitive Accelerometer Oriented to Quasi-Static Measurements
Javier Martínez1, David Asiain1, José Ramón Beltrán2
1Department of Electronic Engineering, Escuela Universitaria Politécnica dea Almunia, C/Mayor 5, La Almunia de Doña Godina, 50100 Zaragoza, Spain.
A new calibration method for MEMS capacitive accelerometers reduces thermal dependence by accurately determining temperature drift of bias and scale factor. This faster, computationally cheaper approach significantly improves sensor performance and reduces errors caused by temperature variations.
Area of Science:
- Micro-Electro-Mechanical Systems (MEMS)
- Sensor Technology
- Metrology
Background:
- MEMS capacitive accelerometers are limited by thermal dependence, necessitating individual calibration.
- Existing calibration methods can be data-intensive and computationally costly.
- Accurate thermal compensation is crucial for reliable accelerometer performance.
Purpose of the Study:
- To propose a faster, more efficient calibration method for MEMS capacitive accelerometers.
- To accurately determine the temperature drift of bias (TDB) and temperature drift of scale factor (TDSF).
- To reduce the computational cost of thermal compensation.
Main Methods:
- A novel calibration method based on theoretical studies was developed.
- Characteristic parameters (TDB and TDSF) were obtained for six IS3DSH accelerometers.
- Testing was conducted within a temperature range of 15 °C to 55 °C.
Main Results:
- The TDB was identified as the primary contributor to thermal drift, reaching up to 1.3 mg/°C.
- TDSF ranged from 0 to -400 ppm/°C.
- Thermal compensation achieved an average performance improvement of 47%, with over 80% improvement in high-drift axes.
Conclusions:
- The proposed method enables faster and more efficient calibration of MEMS accelerometers.
- The developed compensation significantly mitigates thermal drift effects.
- The method also reduces the impact of temporal drift and self-heating on sensor accuracy.
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