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This study introduces a fast, single-test calibration for capacitive MEMS accelerometers, compensating for temperature-induced drifts. The method accurately determines thermal parameters (Temperature Drift of Bias and Scale Factor) for improved performance in varying temperatures.

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Area of Science:

  • * Microelectromechanical Systems (MEMS) Accelerometry
  • * Sensor Calibration and Compensation
  • * Thermal Sensitivity Analysis

Background:

  • * Capacitive MEMS accelerometers exhibit significant output drift due to temperature variations.
  • * Accurate performance in thermal environments necessitates compensation for temperature-induced errors.
  • * Individual calibration is crucial as thermal parameters (Temperature Drift of Bias, Temperature Drift of Scale Factor) vary per device and axis.

Purpose of the Study:

  • * To develop a simple, rapid, and scalable calibration method for capacitive MEMS accelerometers.
  • * To enable simultaneous determination of characteristic thermal parameters for all three axes.
  • * To facilitate efficient mass factory calibration, overcoming limitations of traditional methods.

Main Methods:

  • * A novel calibration technique utilizing two specific orientations at two distinct temperatures.
  • * Extrapolation of data to the entire working range by strategic selection of orientations and temperatures.
  • * Implementation of a lightweight algorithm for real-time analysis and compensation parameter extraction on low-cost microcontrollers.

Main Results:

  • * Successful simultaneous acquisition of characteristic thermal parameters for all three accelerometer axes.
  • * Demonstrated scalability for calibrating multiple accelerometers concurrently.
  • * Achieved a low relative error difference of 0.3% compared to traditional multi-test calibration methods.

Conclusions:

  • * The proposed single-test calibration method is efficient and accurate for capacitive MEMS accelerometers.
  • * The lightweight algorithm and simplified test procedure are ideal for mass factory calibration.
  • * This approach significantly enhances accelerometer reliability in temperature-varying applications.