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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	731-734
Number of pages	4
Journal	Chinese Journal of Sensors and Actuators
Volume	30
Issue number	5
DOIs	https://doi.org/10.3969/j.issn.1004-1699.2017.05.016
Publication status	Published - 1 May 2017
Externally published	Yes

Keywords

Kalman filter
MEMS gyroscope
Random drift
Time series analysis

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10.3969/j.issn.1004-1699.2017.05.016

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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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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

UR - https://www.scopus.com/pages/publications/85028838225

U2 - 10.3969/j.issn.1004-1699.2017.05.016

DO - 10.3969/j.issn.1004-1699.2017.05.016

M3 - Article

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VL - 30

SP - 731

EP - 734

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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Keywords

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