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

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 °/√(h<sup>3</sup>) to 0.0014 °/√(h<sup>3</sup>), 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.

Authors

Institutions

Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-03-23
DOI
https://doi.org/10.1038/s41378-026-01181-9
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Xudong Zheng, Yaojie Shen, Wenjie Hu, Junjie Zeng et al.
Microsystems & Nanoengineering
Inertial Sensor and Navigation
article

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

Xudong Zheng, Yaojie Shen, Wenjie Hu, Junjie Zeng, Chen Fang, Zhonghe Jin
article en

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 °/√(h<sup>3</sup>) to 0.0014 °/√(h<sup>3</sup>), 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.

Microsystems & NanoengineeringVol. 12(1)
Powerchina Huadong Engineering Corporation (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Inertial Sensor and Navigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.