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Multi-Frame Vibration MEMS Gyroscope Temperature Compensation Based on Combined GWO-VMD-TCN-LSTM Algorithm.

Ao Li1, Ke Cui2, Daren An2

  • 1School of Engineer, The Hong Kong University of Science and Technology, Hong Kong, China.

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|November 27, 2024
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Summary
This summary is machine-generated.

This study introduces a novel temperature compensation model for Multi-Frame Vibration MEMS Gyroscopes (DMFVMG). The advanced method significantly reduces gyroscope errors, enhancing performance across varying temperatures.

Keywords:
GWO-VMD denoisingMEMS gyroscopeMulti-Frame Vibration MEMS Gyroscope (DMFVMG)TCN-LSTM modeltemperature compensation

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Area of Science:

  • * Engineering and Applied Physics
  • * Sensor Technology and MEMS Devices

Background:

  • * MEMS gyroscopes are crucial for navigation and motion sensing but are susceptible to temperature-induced drift.
  • * Existing temperature compensation methods often struggle to achieve high accuracy across wide temperature ranges.

Purpose of the Study:

  • * To develop and validate a robust temperature compensation model for DMFVMGs.
  • * To improve the accuracy and stability of MEMS gyroscopes under thermal variations.

Main Methods:

  • * Denoising of gyroscope signals using Grey Wolf Optimization Variational Mode Decomposition (GWO-VMD).
  • * Temperature drift prediction employing a hybrid Temporal Convolutional Network (TCN) and Long Short-Term Memory (LSTM) model.
  • * Integration of GWO-VMD denoising with TCN-LSTM prediction for comprehensive temperature compensation.

Main Results:

  • * Significant reduction in rate random walk from 102.929°/h/√Hz to 17.6903°/h/√Hz (82.81% improvement).
  • * Substantial decrease in bias instability from 63.70°/h to 1.38°/h (97.83% improvement).
  • * Demonstrated enhanced gyroscope performance and stability across diverse temperature conditions.

Conclusions:

  • * The proposed GWO-VMD and TCN-LSTM based temperature compensation model effectively mitigates gyroscope errors.
  • * The model offers a superior solution for improving MEMS gyroscope accuracy and reliability in variable thermal environments.