Title :
Compensation for MEMS gyroscope zero bias stability
Author :
Bai Junlong ; Chen Wenjie ; Cai Tao
Author_Institution :
Sch. of Autom., Inst. of Technol., Beijing, China
Abstract :
The relationship between the zero bias stability of MEMS gyroscope and the variance of MEMS gyroscope signal is analyzed in this paper, what´s more, Wavelet transform and time series method are adopted here to reduce the gyroscope random drift, after that, the value of zero bias stability of the original signal and the filtered signal are calculated. The experimental results indicate that zero bias stability of the filtered signal is better than the original signal, that is to say, the method proposed in this paper has a very good effect for the improvement of the zero bias stability of the MEMS gyroscope.
Keywords :
gyroscopes; microsensors; time series; wavelet transforms; MEMS gyroscope; compensation; gyroscope random drift; time series method; wavelet transform; zero bias stability; Gyroscopes; Kalman filters; Micromechanical devices; Stability analysis; Time series analysis; Wavelet transforms; MEMS gyroscope; kalman filter; time series; wavelet transform; zero bias stability;
Conference_Titel :
Chinese Automation Congress (CAC), 2013
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-0332-0
DOI :
10.1109/CAC.2013.6775833
