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Updated: Jun 8, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
Published on: August 15, 2014
Real-time correction of gain nonlinearity in electrostatic actuation for whole-angle micro-shell resonator gyroscope
Sheng Yu1, Jiangkun Sun2, Yongmeng Zhang1
1National University of Defense Technology, Changsha, 410073, China.
Microelectromechanical systems (MEMS) gyroscopes exhibit nonlinear effects at larger amplitudes, impacting performance. This study introduces a real-time correction method to mitigate these nonlinearities, significantly improving gyroscope accuracy and stability.
Area of Science:
- MEMS gyroscope technology
- Nonlinear dynamics in micro-resonators
- Inertial sensing
Background:
- MEMS gyroscopes offer excellent Cost Size Weight, and Power (CSWaP) advantages, driving research.
- Increased vibrating amplitudes enhance signal-to-noise ratio (SNR) but introduce detrimental nonlinear effects.
- Understanding and mitigating these nonlinearities is crucial for advancing MEMS gyroscope performance.
Purpose of the Study:
- To investigate the general nonlinear mechanism, specifically actuation gain nonlinearity, in parallel-plate capacitive MEMS gyroscopes.
- To develop and validate a real-time correction method for electrostatic actuation gain nonlinearity.
- To quantify the performance improvements in a micro-shell resonator gyroscope (MSRG) after applying the correction.
Main Methods:
- Developed a theoretical model to analyze actuation gain nonlinearity and its impact on angle-dependent bias.
- Conducted experiments on a micro-shell resonator gyroscope (MSRG) to verify theoretical predictions.
- Implemented a real-time gain modification technique based on online parameter estimation of capacitive detection signals.
Main Results:
- Actuation gain nonlinearity was shown to cause control-force coupling and introduce a 4th-order angle-dependent bias.
- The proposed real-time correction method reduced the 4th-order angle-dependent bias by over 95% (from 0.003°/s to <0.0001°/s).
- Bias instability (BI) improved 3.5-fold (0.101°/h to 0.029°/h), and scale factor nonlinearity (SFN) decreased by an order of magnitude (2.02 ppm to 0.21 ppm).
Conclusions:
- Actuation gain nonlinearity is a significant factor affecting MEMS gyroscope performance, particularly angle-dependent bias.
- The developed real-time correction method effectively linearizes electrostatic actuation, enhancing gyroscope accuracy and stability.
- This approach offers a practical solution for improving the performance of whole-angle MSRGs across various operating conditions.
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