Abstract
In order to improve the measurement accuracy of Coriolis mass flowmeters, this paper investigates the possible application of a strong tracking filter during signal processing. Specifically, a novel phase difference measurement method, based on a strong tracking filter for Coriolis mass flowmeters, is proposed in order to overcome the problems associated with the extended Kalman filters, which cannot accurately track time-varying phase differences. Compared with the existing methods, the proposed method can continuously track phase difference variation with high precision. The proposed method is a parallel algorithm that does not need to predict signal frequency in advance; this can effectively eliminate the quadratic error associated with frequency estimation. The results of simulation and experiments verify the proposed method that has better estimation performance and enhances the anti-interference performance of phase difference estimation, which contributes to improving the measurement accuracy of Coriolis mass flowmeters.
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