Research on Signal Processing Method for Coriolis Mass Flowmeter
Ni Wei Institute of Automation of Hefei University of Technology, Hefei Annui , 230009, China
Three adaptive notch filters with the capability of tracking frequency variation, IIR type, lattice type and normalized lattice type, are discussed and compared in this paper. Then they are applied to filter the sensor output signal, whose frequency, amplitude and phase are time-varying based on the random walk model, of Coriolis mass flowmeter respectively and calculate its frequency. An adaptive line enhancer based on the above notch filter extracts the signal we required from noisy data. Then the sliding Goertzel algorithm with overlap windows is used to calculate the real time phase difference between two signals of this kind. With the frequency and phase difference obtained, the time interval of the two signals and the mass flowrate are derived. The simulation results show that algorithms studied in this paper are efficient.
【CateGory Index】： TP21