Research on Optimal Amplitude of Coriolis Mass FlowmeterBased on Experimental Data Analysis
HUANG Ya1,2,XU Kejun1,3,LIU Chenci1,2
1. School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
2. Hefei Geyi Integrated Circuit Co., Ltd., Hefei, Anhui 230061, China
3. Engineering Technology ResearchCenter of Industrial Automation, Anhui Province, Hefei, Anhui 230009, China
Abstract：In response to the difficulty in determining the optimal amplitude and achieving the best measurement effect of the Coriolis mass flowmeter, the test was carried out by matching the developed transmitter with the primary instrument with excellent performance. The signals were collected under different amplitudes to analyze the impact of amplitude on the performance of the Coriolis mass flowmeter from the perspectives of amplitude stability, waveform distortion, signal power spectrum, signal-to-noise ratio, and system driving efficiency. The water flow calibration experiments were conducted with different amplitudes to determine the optimal amplitude based on indication error and repeatability. The results show that as the amplitude increases, waveform distortion becomes more severe, higher harmonic components also increase, and the noise signal power also shows an increasing trend, thereby affecting the signal-to-noise ratio and reducing the driving efficiency. However, if the amplitude is too small, it will exacerbate the amplitude fluctuation of the amplified signal of the sensor and affect the measurement results. Therefore, the optimal amplitude for this flowmeter is approximately 439mV.
黄雅,徐科军,刘陈慈. 基于实验数据分析的科氏质量流量计最佳振幅研究[J]. 计量学报, 2024, 45(7): 1015-1023.
HUANG Ya,XU Kejun,LIU Chenci. Research on Optimal Amplitude of Coriolis Mass FlowmeterBased on Experimental Data Analysis. Acta Metrologica Sinica, 2024, 45(7): 1015-1023.
ZHANG Q Q, WEI X Y, TANG Q L, et al. Excitation and Signal Extraction of Coriolis Mass Flowmeter ［J］. Instrumentation and Analytical Monitoring, 1992(2): 1-4.
HENRY M P, CLARKE D W, ARCHER N, et al. A self-validating digital Coriolis mass-flow meter: an overview ［J］. Control Engineering Practice, 2000, 8(5): 487-506.
［5］
WANG L J, HU L, LEE K M, et al. Analytical Magnetic Field and Driving Force Models Based on Measured Boundary Conditions for Industrial Coriolis Mass Flowmeters ［J］. IEEE Transactions on Industrial Electronics, 2012, 59(12): 4753-4760.
LE J, XU K J, LIU W, et al. Geared to the needs of different applications of two kinds of coriolis mass flowmeter signal processing method ［J］. Journal of electronic measurement and instrument, 2018, 32 (5): 97-106.
TAO B B, XU K J, HOU Q L, et al. Control method for Coriolis mass flow tube with variable sensor settings ［J］. Chinese Journal of Scientific Instrument, 2015, 36(3): 712-720.
［4］
ZHENG D Z, WANG S, FAN S C. Nonlinear Vibration Characteristics of Coriolis Mass Flowmeter ［J］. Chinese Journal of Aeronautics, 2009, 22(2).
HOU Q L, XU K J, LI Y, et al. Development of High Precision Coriolis Mass Flow Transmitter Based on TMS320F28335 ［J］. Chinese Journal of Scientific Instrument, 2010, 31(12): 2788-2795.
HUANG Y, XU K J, LIU C C. Research on the influence of amplitude of Coriolis mass flowmeter on zero point ［J］. Acta Metrology Sinica, 2023, 44 (2): 212-218.
LI Z X, ZHENG D Z, HU C, et al. Research on suppression of nonlinear influence of double-tube Coriolis mass flow sensor ［J］. Instrument and Apparatus Journal, 2022, 43(1): 35-45.
［10］
STORM R, KOLAHI K, ROCK H. Model-based correction of coriolis mass flowmeters ［J］. IEEE Transactions on Instrumentation and Measurement, 2002, 51(4): 605-610.
SONG M G, FAN S C. Theoretical Research on Nonlinear Vibration Characteristics of Coriolis Mass Flow Measurement Tube ［J］. Chinese Journal of Scientific Instrument, 2002, 23(4): 361-365.
［12］
LI Z X, HU C, ZHENG D Z, et al. Synchronization Theory-Based Analysis of Coupled Vibrations of Dual-Tube Coriolis Mass Flowmeters ［J］. Sensors, 2020,20(21): 6340.
XU A Q, WEI H, WANG D G, et al. Research on Time-frequency Method of Sinusoidal Signal to Noise Ratio Estimation Based on Matlab ［J］. Journal of Measurement Technology, 2012, 26(1): 46-50.
2024, Vol. 45 
