A Novel Method for CMF Signal Processing Based on the Revised Sliding Recursive DTFT Algorithm
There is a large computational load when measuring the phase difference between two signals of Coriolis mass flowmeter (CMF) because of redundancy calculations, which decreases the accuracy and real time qualities. A novel method for CMF signal processing is proposed based on the revised sliding recursive discrete-time Fourier transform (DTFT) algorithm. First, a new adaptive notch filter is introduced to filter the sensor output signals of the CMF and calculate the frequency. Then, a new method based on the revised sliding recursive DTFT algorithm is applied to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of the two signals is calculated, and then, the mass flowrate is derived. Simulation and experimental results show that the computational load of the complete set of algorithm is small and numerical overflow never happens along with higher accuracy of the CMF.
Coriolis mass flowmeter (CMF) adaptive notch filter frequency tracking phase difference revised sliding recursive discrete-time Fourier transform (DTFT) algorithm.
SHEN Ting’ao TU Yaqing ZHANG Haitao
Department of Information Engineering, Logistical Engineering University, Chongqing, China, 401311
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
3323-3328
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）