A temperature self-calibrated MEMS gyroscope with 0.007°/h/K bias drift coefficient using real-time parametric quality factor control and mode matching

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Authors: Yaojie Shen, Xudong Zheng, Chen Fang, Junjie Zeng, Wenjie Hu, Zhonghe Jin
Cited by: 2
References: 28

Abstract

Both mechanical and electrical errors contribute to the zero-rate output (ZRO) of MEMS gyroscopes, which mainly include quadrature error leakage into the in-phase channel and in-phase errors originating from force misalignment, electrical feedthrough, and damping mismatch between the gyroscope drive mode and sense mode. A new self-calibration control scheme for the gyroscope’s ZRO based on parametric excitation (PE) quality factor control and mode matching is proposed in this paper, featuring the advantages of simultaneously suppressing the impact of electrical feedthrough, force misalignment and real-time compensating for the effective sense mode quality factor drift due to temperature variations, providing a practical solution to achieve low temperature sensitivity of ZRO for high-performance MEMS gyroscopes. As a result, the bias instability (BI) decreases from 0.295 °/h to 0.156 °/h over the temperature range of −20°C to 50 °C, while the rate random walk (RRW) decreases from 0.0038 °/√(h3) to 0.0014 °/√(h3), a 2.7-fold reduction. The temperature coefficient of bias drift with self-calibration decreases from 0.864 °/h/K to 0.007 °/h/K with a reduction of 122 times, which is the best value reported publicly to date.

Fields of Study & Subjects

Inertial Sensor and Navigation Advanced MEMS and NEMS Technologies Piezoelectric Actuators and Control

Publication details

Journal / source
Microsystems & Nanoengineering
Publisher
Springer Science and Business Media LLC
Volume
12
Issue
1
Publication date
23 March 2026
Language
EN