Compensation for MEMS gyroscope zero bias stability
Bai Junlong, Chen Wenjie, Cai Tao
Abstract
Bai Junlong, Chen Wenjie, Cai Tao
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.
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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.
Key concepts: Gyroscope, Vibrating structure gyroscope, Allan variance, SIGNAL (programming language), Stability (learning theory), Control theory (sociology), Microelectromechanical systems, Compensation (psychology)