Research of Random Drift for MEMS Gyroscope Based on Gray System and ARMA Model
Due to the precision of MEMS gyroscope is currently low level,even in low precision dynamic attitude measurement system,its error is also need to be estimated and compensated.Random drift is the one of the most important factor affects MEMS Gyros precision.At the same time,it is a non-stationary,weak non-linear and time-variant random signal.For improving precision of gyro and reducing effects of random drift,this paper used gray GM(1,1) model to extract established tendency signal,and used power spectral density (PSD) to identify and extract the hidden periodic weak signal,then used ARMA method to model gyros random drift.As the example of LCG50 MEMS gyro,the simulation experimental results show that using this method can reduce the random drift and enhance precision of gyro.
MEMS gyroscope random drift power spectral density gray system
Zhaohua Liu Jiabin Chen Yuliang Mao Chunlei Song
School of Automation, Beijing Institute of Technology, Beijing, China;School of Mechanical Engineeri School of Automation, Beijing Institute of Technology, Beijing, China
国际会议
沈阳
英文
1526-1531
2012-05-25（万方平台首次上网日期，不代表论文的发表时间）