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Related Concept Videos

Time and frequency -Domain Interpretation of Phase-lead Control01:24

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Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
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Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
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Updated: Jun 28, 2025

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
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Time difference detection based on sliding window all-phase FFT and Kalman filtering for precise flow measurement.

Jiaqi Jing1, Dezhi Zheng2,3, Shangchun Fan1

  • 1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100091, People's Republic of China.

The Review of Scientific Instruments
|April 12, 2024
PubMed
Summary

This study introduces a new method for Coriolis mass flowmeters (CMF) to improve accuracy by using sliding window and all-phase FFT for time difference detection. Enhanced stability and response speed are achieved with a Kalman filter, boosting CMF performance.

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Area of Science:

  • Instrumentation and Measurement Science
  • Fluid Dynamics and Control

Background:

  • Coriolis mass flowmeters (CMF) are crucial for precise mass flow rate measurement.
  • Traditional frequency domain methods for CMF face challenges with spectrum leakage, impacting accuracy.
  • Existing methods require improvement in stability and response speed for industrial applications.

Purpose of the Study:

  • To develop a novel time difference detection method for CMF to overcome spectrum leakage.
  • To enhance the stability and response speed of CMF measurements.
  • To validate the proposed methods for improved industrial applicability.

Main Methods:

  • Implemented a new time difference detection technique using a sliding window and all-phase fast Fourier transform (FFT).
  • Reduced computational complexity by accounting for signal frequency variations.
  • Applied a Kalman filtering algorithm, incorporating variance detection, for advanced post-processing and signal stabilization.

Main Results:

  • The proposed method effectively mitigates spectrum leakage in CMF.
  • Achieved superior accuracy of better than 0.5‰ and repeatability of better than 0.2‰ for single-phase fluids.
  • Demonstrated significant improvements in measurement stability and response speed.

Conclusions:

  • The novel time difference detection and Kalman filtering methods significantly enhance CMF accuracy and performance.
  • The validated system offers a robust solution for industrial mass flow measurement.
  • This advancement supports broader and more reliable industrial applications of Coriolis mass flowmeters.