Research on Random Drift Modeling and Error Compensation Method for MEMS Gyroscope

摘要：

　　This paper presents modeling random drift by traditional time series method.In the modeling process,the real time average algorithm is proposed which can extract the constant drift of the MEMS gyroscope effectively to get random drift,and a modified recursive extended least squares (RELS) method for parameter estimation of the autoregressive moving average models (ARMA) is presented.The modified RELS algorithm consists of two-stage RLS algorithm which can on line be implemented,and has the fast convergence rate.After modeling,the corresponding Kalman filter is designed to make compensation for gyroscope random drift.The compensation results for the practical testing data of the MEMS gyroscope show that the model established can reflect the gyroscope random drift tendency with reasonable accuracy,and the gyroscope random drift can be effectively reduced by the filtering method presented.

关键词： MEMS gyroscope time-series analysis random drift kalman filter RELS

作者: Yanling Hao Junwei Yang Liang Chen Jinhui Hao

作者单位: College of Automation,Harbin Engineering University,Harbin,Heilongjiang,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 925-929

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）