Chen Nan, Fan Shangchun, Zheng Dezhi
School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
Rev Sci Instrum. 2019 Jul;90(7):075003. doi: 10.1063/1.5086714.
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.
为了提高科里奥利质量流量计的测量精度，本文研究了强跟踪滤波器在信号处理中的可能应用。具体而言，提出了一种基于强跟踪滤波器的科里奥利质量流量计新型相位差测量方法，以克服扩展卡尔曼滤波器无法准确跟踪时变相位差的问题。与现有方法相比，该方法能够高精度地连续跟踪相位差变化。该方法是一种并行算法，无需预先预测信号频率；这可以有效消除与频率估计相关的二次误差。仿真和实验结果验证了该方法具有更好的估计性能，提高了相位差估计的抗干扰性能，有助于提高科里奥利质量流量计的测量精度。
