Research on Compensation Method of Random Drift of Vibratory Gyro Based on Phase Space Reconstruction

Vibratory gyroscope has been widely used in many fields such as land, sea and air. Random drift suppression is a major factor affecting this type of gyroscope and has been the focus of research in this field. Taking the MEMS gyroscope as an example, the traditional frequency domain method is usually used for suppression, but this method cannot be adjusted dynamically; while the time series method is used, its data pre-processing is cumbersome and poor in real-time. This paper proposes a method of phase space reconstruction (PSR) based on chaotic factors to suppress random drift. Firstly, a gyro output signal model based on PSR is established, and the relevant parameters are determined using the C-C method; then the traditional Kalman filtering method is used to achieve random drift suppression. The effectiveness of the method is verified by combining simulation analysis with actual verification.