A phase difference measurement method based on strong tracking filter for Coriolis mass flowmeter

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.