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Enhancing Long‑Term Accuracy of 3‑Axis MEMS Accelerometers: Design and Stability Tips

In the first two parts of our series we dissected the internal architecture of a 3‑axis high‑precision MEMS accelerometer and showed how to collect a robust baseline dataset that captures the sensor’s intrinsic noise floor. In this final installment we examine the subtle environmental and mechanical factors that can erode long‑term repeatability, and we present concrete design guidelines that help engineers keep performance tight over years of operation.

Once thermal stresses are understood, the next critical aspect is long‑term stability or repeatability. Repeatability measures how closely successive readings agree under identical conditions over an extended period. For example, two gravity‑field measurements taken with the sensor in the same orientation, at the same temperature, and after months of use will be compared to assess drift. Offset and sensitivity repeatability are essential for applications that cannot rely on frequent recalibration. Many manufacturers do not publish long‑term data, but Analog Devices’ ADXL355 datasheet does, providing repeatability figures for a 10‑year life that incorporate high‑temperature operating life tests (HTOL) at 150 °C, 3.6 V supply, 1,000 h; temperature cycling between –55 °C and +125 °C over 1,000 cycles; velocity random walk; broadband noise; and temperature hysteresis. The reported repeatability is ±2 mg for X/Y and ±3 mg for Z, illustrating the sensor’s long‑term performance.

When operating under stable mechanical, environmental, and inertial conditions, repeatability follows a square‑root law with respect to time. For instance, to predict the X‑axis offset repeatability over 2.5 years, the calculation is:

±2 mg × √(2.5 years / 10 years) = ±1 mg
Figure 1 demonstrates this relationship using HTOL data: 32 devices show an 0 g offset drift over 23 days. The plot clearly illustrates the square‑root dependence, though individual parts vary due to fabrication process differences.

Enhancing Long‑Term Accuracy of 3‑Axis MEMS Accelerometers: Design and Stability Tips
Figure 1. 500‑hour long‑term stability of the ADXL355. (Source: Analog Devices)

Mechanical System Design Recommendations

Mechanical mounting interfaces and enclosure design significantly influence a MEMS accelerometer’s overall performance by transmitting physical stresses to the sensor. The sensor, PCB, and enclosure form a higher‑order system that can behave as a resonant or overdamped structure. Understanding the resonant frequency and quality factor of the mounting system allows engineers to minimize vibrational amplification or excessive damping within the sensor’s bandwidth.

PCB, Mounting, and Enclosure

Potting Compounds

Potting is common for sealing electronics, but it can impose a temperature‑coefficient mismatch on the sensor if the potting material differs from the enclosure. For land‑grid‑array (LGA) overmolds, potting is discouraged. A hermetically sealed ceramic package offers robust protection against thermal mismatch. However, potting can still generate long‑term stresses due to material degradation, causing subtle warpage that strains the die. In high‑stability applications, avoid potting and consider low‑stress conformal coatings such as parylene‑C to provide a moisture barrier without compromising mechanical integrity.

Air Flow, Heat Transfer, and Thermal Balance

Optimal sensor performance demands careful thermal management:

Conclusion

Neglecting environmental and mechanical effects can silently degrade a high‑precision MEMS accelerometer’s performance. By adopting a holistic, system‑level design approach—careful mounting, judicious enclosure selection, controlled potting, and thoughtful thermal management—engineers can preserve sensor accuracy over long periods. Just as a well‑designed system tolerates stress, so too can our engineering practices endure the challenges of real‑world operation.

References

Embedded

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