In order to suppress the random drift of the dynamically tuned gyro, the time series analysis method is adopted to analyze the stability of the output data of the small dynamically tuned gyro, and the autoregressive sum sliding average model of its random drift is established. The Kalman filter is designed with the constructed model as the state equation and the actual measured data as the measurement value, and the Kalman filter is applied to filter the actual measured output data of the dynamically tuned gyro. After processing, the random drift of the gyro is only the original data. The results show that the filtering method can effectively suppress the random drift of the gyro, and also verify the correctness and effectiveness of the constructed model. This method can also be applied to the output data processing of other types of gyros.
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