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Robust optimization of a MEMS accelerometer considering temperature variations.

Guangjun Liu1, Feng Yang2, Xiaofan Bao3

  • 1School of Mechanical Engineering, Tongji University, Shanghai 200092, China. gjliu@126.com.

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Summary
This summary is machine-generated.

This study presents a robust optimization method for Micro-Electro-Mechanical Systems (MEMS) accelerometers to reduce temperature effects. The optimized accelerometer demonstrates high sensitivity and improved thermal stability.

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Area of Science:

  • Mechanical Engineering
  • Electrical Engineering
  • Materials Science

Background:

  • Micro-Electro-Mechanical Systems (MEMS) accelerometers are susceptible to temperature variations, affecting their performance.
  • Temperature fluctuations can cause thermal deformation, impacting output capacitance and resonance frequency.
  • Existing MEMS accelerometer designs often lack sufficient thermal robustness.

Purpose of the Study:

  • To develop a robust optimization approach for MEMS accelerometers to minimize temperature-induced performance variations.
  • To analyze the effects of temperature on accelerometer output capacitance and resonance frequency.
  • To identify key structural parameters influencing thermal sensitivity for optimization.

Main Methods:

  • Development of a mathematical model for the MEMS accelerometer.
  • Analysis of thermal deformation and its impact on accelerometer performance.
  • Application of sensitivity analysis to identify critical design variables for robust optimization.
  • Implementation and solution of the robust optimization problem.

Main Results:

  • Quantification of deviations in output capacitance and resonance frequency due to temperature changes.
  • Identification of critical structural parameters influencing accelerometer performance under thermal stress.
  • Successful application of robust optimization to enhance thermal stability.
  • Achieved an optimized MEMS accelerometer with high sensitivity and improved temperature robustness.

Conclusions:

  • Robust optimization is an effective strategy for enhancing the thermal performance of MEMS accelerometers.
  • The proposed method successfully identifies and mitigates temperature effects on critical performance metrics.
  • The optimized accelerometer design exhibits superior sensitivity and decoupling characteristics, making it suitable for demanding applications.