Error Modeling and Filtering for Drift of MEMS Gyroscope

Jie Li; Lungui Zheng; Jianzhong Wang

doi:10.3969/j.issn.1004-1699.2017.05.016

Error Modeling and Filtering for Drift of MEMS Gyroscope

Jie Li
, Lungui Zheng^*
, Jianzhong Wang

^*此作品的通讯作者

North University of China
Tsinghua University

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

The control accuracy of the electro-optical stability tracking platform is directly affected by the drift error of MEMS gyroscope. The random drift error of MEMS gyroscope is slowly time-drifting, Weakly nonlinear and difficult to be accurately compensated. Aiming at the above characteristics, a model is built for the residual signal of MEMS gyro drift error based on the principle of time-series analysis. The Kalman filtering results show that the variance of the signal is improved by one to two magnitudes, which shows that the drift error is effectively suppressed and the accuracy of the MEMS gyroscope is improved.

源语言	英语
页（从-至）	731-734
页数	4
期刊	Chinese Journal of Sensors and Actuators
卷	30
期	5
DOI	https://doi.org/10.3969/j.issn.1004-1699.2017.05.016
出版状态	已出版 - 1 5月 2017
已对外发布	是

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title = "Error Modeling and Filtering for Drift of MEMS Gyroscope",

abstract = "The control accuracy of the electro-optical stability tracking platform is directly affected by the drift error of MEMS gyroscope. The random drift error of MEMS gyroscope is slowly time-drifting, Weakly nonlinear and difficult to be accurately compensated. Aiming at the above characteristics, a model is built for the residual signal of MEMS gyro drift error based on the principle of time-series analysis. The Kalman filtering results show that the variance of the signal is improved by one to two magnitudes, which shows that the drift error is effectively suppressed and the accuracy of the MEMS gyroscope is improved.",

keywords = "Kalman filter, MEMS gyroscope, Random drift, Time series analysis",

author = "Jie Li and Lungui Zheng and Jianzhong Wang",

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TY - JOUR

T1 - Error Modeling and Filtering for Drift of MEMS Gyroscope

AU - Li, Jie

AU - Zheng, Lungui

AU - Wang, Jianzhong

PY - 2017/5/1

Y1 - 2017/5/1

N2 - The control accuracy of the electro-optical stability tracking platform is directly affected by the drift error of MEMS gyroscope. The random drift error of MEMS gyroscope is slowly time-drifting, Weakly nonlinear and difficult to be accurately compensated. Aiming at the above characteristics, a model is built for the residual signal of MEMS gyro drift error based on the principle of time-series analysis. The Kalman filtering results show that the variance of the signal is improved by one to two magnitudes, which shows that the drift error is effectively suppressed and the accuracy of the MEMS gyroscope is improved.

AB - The control accuracy of the electro-optical stability tracking platform is directly affected by the drift error of MEMS gyroscope. The random drift error of MEMS gyroscope is slowly time-drifting, Weakly nonlinear and difficult to be accurately compensated. Aiming at the above characteristics, a model is built for the residual signal of MEMS gyro drift error based on the principle of time-series analysis. The Kalman filtering results show that the variance of the signal is improved by one to two magnitudes, which shows that the drift error is effectively suppressed and the accuracy of the MEMS gyroscope is improved.

KW - Kalman filter

KW - MEMS gyroscope

KW - Random drift

KW - Time series analysis

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DO - 10.3969/j.issn.1004-1699.2017.05.016

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VL - 30

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JO - Chinese Journal of Sensors and Actuators

JF - Chinese Journal of Sensors and Actuators

IS - 5

ER -

Error Modeling and Filtering for Drift of MEMS Gyroscope

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