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A Low-Cost Calibration Method for Low-Cost MEMS Accelerometers Based on 3D Printing.

Jesús A García¹, Evangelina Lara¹, Leocundo Aguilar¹

¹Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Tijuana BC 22390, Mexico.

Sensors (Basel, Switzerland)

|November 17, 2020

Summary

This study presents a low-cost, practical method for calibrating accelerometers using a 3D printed polyhedron. The new technique significantly reduces root-mean-square error (RMSE), enhancing sensor accuracy for embedded systems.

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Area of Science:

Embedded Systems
Sensor Technology
Metrology

Background:

Accelerometers are crucial sensors in embedded systems, but suffer from nonlinearities due to error terms and axis misalignment.
These errors accumulate over time, degrading accuracy in applications like navigation systems.
Existing calibration methods are often complex, expensive, and require specialized laboratory equipment.

Purpose of the Study:

To propose a simple, practical, and low-cost method for accelerometer calibration.
To leverage 3D printing technology for accessible sensor calibration.
To improve the accuracy of accelerometer outputs for various applications.

Main Methods:

Development of a calibration procedure utilizing a 3D printed polyhedron.

Keywords:

3D print accelerometer calibration inertial sensor low-cost mems

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Simultaneous calibration of up to 14 sensors per polyhedron.

Experimental validation using a low-cost accelerometer sensor.

Main Results:

Significant reduction in the root-mean-square error (RMSE) of the accelerometer output.
Demonstrated higher performance compared to existing similar calibration proposals.
Validation of the method's effectiveness with low-cost sensors.

Conclusions:

The proposed method offers a low-cost, accessible solution for accelerometer calibration.
Enables calibration anywhere, anytime, without reliance on laboratory settings or expert personnel.
Compensating for inherent sensor errors leads to substantially increased output accuracy.