A calibration method of MEMS-IMU based on three-axis turntable

This paper presents a calibration method for Micro-Electro-Mechanical Systems Inertial Measurement Unit (MEMSIMU) based on a three-axis turntable, utilizing the turntable to perform offline calibration of error parameters for MEMS accelerometers and MEMS gyroscopes. The sources of error in MEMS-IMU were analyzed, and error models for accelerometers and gyroscopes were established based on zero bias error, scale factor error, and cross-axis coupling error. This paper designed multi-position static calibration experiments and positive-negative angular position calibration experiments to calibrate the accelerometers and gyroscopes. The error parameter matrices for the accelerometers and gyroscopes were determined using the least squares method to compensate for the sensor data. To verify the calibration effectiveness, experiments comparing the original sensor data with the compensated data were conducted. The results demonstrate that this method has improved the consistency of the three axes of the MEMS-IMU, reduced the zero bias error, and enhanced the positioning accuracy.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862883
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A calibration method of MEMS-IMU based on three-axis turntable

Tongyue Gao, Yulin Liu, Haozhe Zhan, Yunteng You et al.
Advanced MEMS and NEMS Technologies
article

A calibration method of MEMS-IMU based on three-axis turntable

Tongyue Gao, Yulin Liu, Haozhe Zhan, Yunteng You, Guangyuan Wu
article en

Abstract

This paper presents a calibration method for Micro-Electro-Mechanical Systems Inertial Measurement Unit (MEMSIMU) based on a three-axis turntable, utilizing the turntable to perform offline calibration of error parameters for MEMS accelerometers and MEMS gyroscopes. The sources of error in MEMS-IMU were analyzed, and error models for accelerometers and gyroscopes were established based on zero bias error, scale factor error, and cross-axis coupling error. This paper designed multi-position static calibration experiments and positive-negative angular position calibration experiments to calibrate the accelerometers and gyroscopes. The error parameter matrices for the accelerometers and gyroscopes were determined using the least squares method to compensate for the sensor data. To verify the calibration effectiveness, experiments comparing the original sensor data with the compensated data were conducted. The results demonstrate that this method has improved the consistency of the three axes of the MEMS-IMU, reduced the zero bias error, and enhanced the positioning accuracy.

Shanghai University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced MEMS and NEMS Technologies
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.

A calibration method of MEMS-IMU based on three-axis turntable — Tongyue Gao, Yulin Liu, et al. · (2024) | TGRS Research Map | TGRS