frequency synthesizer with optimized VCO and reduced current mismatch CP
Chunhui Li, Lijun Sun, Jiarong Liu, Yang Zhang, Haiyang Li, Huaxiang Wang,ChunhuiLi@tju.edu.cn,sunlijun@tju.edu.cn
Frontiers of Information Technology & Electronic Engineering
2021,
Volume 22,
Issue 2,
Pages 141-286
doi:
10.1631/FITEE.1900558
Abstract:
As an increasingly popular flow metering technology, exhibits high measurement accuracy under single-phase flow condition and is widely used in the industry. However, under complex flow conditions, such as two-phase flow, the measurement accuracy is greatly decreased due to various factors including improper signal processing methods. In this study, three s—the (QD) method, Hilbert method, and sliding discrete time Fourier transform method—are analyzed for their applications in processing sensor signals and providing measurement results under gas-liquid . Based on the analysis, specific improvements are applied to each method to deal with the signals under . For simulation, sensor signals under single- and s are established using a random walk model. The phase difference tracking performances of these three methods are evaluated in the simulation. Based on the digital signal processor, a converter program is implemented on its evaluation board. The converter program is tested under single- and s. The improved signal processing methods are evaluated in terms of the measurement accuracy and complexity. The QD algorithm has the best performance under the single-phase flow condition. Under the , the QD algorithm performs a little better in terms of the indication error and repeatability than the improved Hilbert algorithm at 160, 250, and 420 kg/h flow points, whereas the Hilbert algorithm outperforms the QD algorithm at the 600 kg/h flow point.
Keywords：
Coriolis mass flowmeter
Digital signal processing method
Two-phase flow condition
Quadrature demodulation
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