The rapidity of phase difference calculation algorithm of Coriolis Mass Flowmeter and its effect on measurement

Coriolis Mass Flowmeter (CMF) is widely used in industrial and life scenarios. With the complexity of working conditions increase, the signal processing algorithm of CMF requires higher speed. In this paper, the performance of Complex Coefficient Filter (CCF), Quadrature Demodulation (QD) and Hilbert algorithms is compared in terms of the rapidity of the algorithm, taking into account the anti-noise ability and accuracy. Through pulsating flow signal simulation, the tracking ability of the three algorithms for abrupt signals is compared. Through improved two-phase flow random walk model simulation, the fast solving performance and anti-noise ability of the three algorithms are compared, and the execution time of the algorithms is compared. The simulation results show that the capabilities of CCF and QD are better than Hilbert. Experiments of pulsating flow and gas-liquid two-phase flow are designed to verify the performance of CCF and QD algorithm. The experimental results show that the measurement accuracy and repeatability of CCF algorithm are better than that of QD in pulsating flow. In gas-liquid two-phase flow, the measurement error of CCF algorithm is smaller than that of QD, and the repeatability is better than that of QD except for some points. When the liquid flow rate is constant, with the increase of gas content, the measurement error of the CCF algorithm is smaller than that of QD. When the flow pattern changes, the CCF algorithm can track the signal variation With the speed of the algorithm increase, the ability of tracking changing signals is stronger, which is benefit for improving the accuracy of measuring gas-liquid two-phase flow and pulsating flow.