Research on Dynamic Measurement While Drilling Method Based on Improved Adaptive UKF
In the process of drilling,the strong vibration and fast rotation of the bottom drilling tool lead to the in-terference signal of multi frequency and high amplitude in the attitude measurement signal.According to the charac-teristics of this process,an improved adaptive unscented Kalman filter(UKF)algorithm is proposed.In this algorithm,the adaptive factor is introduced into the standard UKF,and the filter gain is adjusted in real time by chan-ging the covariance matrix of the measurement,so as to improve the adaptive ability of the algorithm to the abrupt state;And the traditional adaptive factor calculation method is improved to ensure the accuracy of the algorithm and reduce the calculation complexity,so as to meet the real-time requirements of the measurement while drilling.The simulation results of the vibration platform system in the laboratory show that,when the vibration noise suddenly be-comes strong,this method can effectively filter out the interference noise in the attitude measurement sensor and im-prove the accuracy of the attitude parameters of the steering drilling tool.
Measurement while drillingUKFAdaptive factorQuaternion
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