基于陷波器和相关法的科氏流量计信号处理方法  

A novel CMF signal processing method based on notch filter and correlation method

作　　者：沈廷鳌 黄思宇 陈鹏[2] 陈丽薇 Shen Ting'ao;Huang Siyu;Chen Peng;Chen Liwei(Army Logistics Acedemy of PLA,Chongqing 401311,China;China Aerodynamies Research and Development Center,Mianyang 621000,China;Sichuan Taili Engineeing Projeet Management Co.,Ltd.,Chengdu 610023,China)

机构地区：[1]陆军勤务学院油料系,重庆401311 [2]中国空气动力研究与发展中心,绵阳621000 [3]四川泰利工程项目管理有限公司,成都610023

出　　处：《电子测量技术》2022年第14期140-144,共5页Electronic Measurement Technology

基　　金：重庆市自然科学基金(cstc2019jcyj-msxmX0628);重庆市教委科学技术研究项目(KJQN202112902)资助。

摘　　要：科氏流量计信号处理的关键在于频率和相位差的准确估计,频率估计主要存在长时间持续跟踪精度不高的问题,相位差估计主要存在精度不够和实时性较差的问题。首先,通过引入负反馈控制,可有效解决自适应陷波器长时间持续跟踪问题,提高频率估计精度。然后,利用频率估计结果,对自适应陷波器滤波后的增强信号进行整周期数据处理。接着,对整周期数据处理后的信号进行希尔伯特变换。最后,对希尔伯特变换前后的信号进行相关运算,利用正弦公式即可求得相位差,进而求得质量流量。仿真结果表明,本文所提方法具有较高的频率和相位差估计精度,可用于科氏流量计的实时信号处理。The key of Coriolis mass flowmeter signal processing depends on the accurate estimation of frequency and phase difference. Frequency estimation methods exists the problem of low tracking accuracy for a long time, and phase difference estimation methods exists the problems of insufficient accuracy and poor real-time performance. Firstly, by introducing negative feedback control, the problem of long-time continuous tracking for adaptive notch filter can be effectively solved and the accuracy of frequency estimation can be improved. Then, the frequency estimation results are used to process the whole period data of the enhanced signal filtered by the adaptive notch filter. Then, Hilbert transform is performed on the signal after the period data processing. Finally, the signals before and after Hilbert transform are correlated, and the phase difference can be obtained by sinusoidal formula, so as to obtain the mass flow. The simulation results show that the proposed method has high frequency and phase difference estimation accuracy, and can be used for real-time signal processing for Coriolis mass flowmeter.

关 键 词：科氏流量计 自适应陷波器 相关法 希尔伯特变换 频率估计 相位差估计 

分 类 号：TH814[机械工程—仪器科学与技术]