传感技术学报2017，Vol.30Issue(5)：731-734,4.DOI:10.3969/j.issn.1004-1699.2017.05.016
陀螺漂移误差建模与滤波
Error Modeling and Filtering for Drift of MEMS Gyroscope
摘要
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.关键词
MEMS陀螺/随机漂移/时间序列分析/Kalman滤波Key words
MEMS gyroscope/random drift/time series analysis/Kalman filter分类
信息技术与安全科学引用本文复制引用
李杰,郑伦贵,王建中..陀螺漂移误差建模与滤波[J].传感技术学报,2017,30(5):731-734,4.基金项目
清华大学精密测试技术及仪器国家重点实验室开放基金项目( 16106000005) （ 16106000005）
