Summary of - Soft sensor for an orifice flowmeter in presence of disturbances

Document Type

Article

Abstract

Study Background: The research presented titled “Soft sensor for an orifice flowmeter in presence of disturbances” by Dr. Santhosh K V and Dr. Sravani V is centered on the creation of a soft sensor for an orifice flowmeter. The sensor aims to offset output disruptions caused by factors like plate contamination, fluid density variations, and plate mis-insertion.

Research Goals and Hypotheses: The primary goal is to develop an observer-based estimator for the orifice flowmeter capable of precisely determining the actual flow rate despite various disturbances.

Methodological Approach:

  1. Utilizing CFD simulation data, a linear parameter-varying model for the orifice flowmeter is constructed.
  2. Estimators based on the Luenberger observer are crafted for these LPV models, with an observer gain matrix that adjusts according to input velocity and the beta ratio.
  3. These LPV estimators are tested against various disturbances, including incorrect plate insertion, plate contamination, and the introduction of unknown substances into the fluid.

Results and Discoveries:

  1. CFD and hands-on experiments indicate an average discrepancy of 6.5% in differential pressure and 3.49% in the discharge coefficient.
  2. A solitary LPV estimator is inadequate for consistently precise true value prediction across all disturbance scenarios.
  3. Implementing a switching mechanism to choose the correct LPV estimator based on the type of disturbance significantly lowers the error rate in the affected output—from 45% down to 0.82% for plate contamination and from 76% down to 2.03% for unintended plate replacement.

Citation to the base paper: Vemulapalli, S., & Venkata, S. K. (2022). Soft sensor for an orifice flowmeter in presence of disturbances. Flow Measurement and Instrumentation, 86, 102178.

Publication Date

2024

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