A Curve Fitting Method for Detecting Valve Stiction in Oscillating Control Loops

Q. Peter HE, Jin WANG, Martin POTTMANN, S. Joe QIN*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

140 Citations (Scopus)

Abstract

Many control loops in process plants perform poorly because of valve stiction as one of the most common equipment problems. Valve stiction may cause oscillation in control loops, which increases variability in product quality, accelerates equipment wear, or leads to control system instability and other issues that potentially disrupt the operation. In this work, data-driven valve stiction models are first reviewed and a simplified model is presented. Next, a stiction detection method is proposed based on curve fitting of the output signal of the first integrating component after the valve, i.e., the controller output for self-regulating processes or the process output for integrating processes. A metric that is called the stiction index (SI) is introduced, based on the proposed method to facilitate the automatic detection of valve stiction. The effectiveness of the proposed method is demonstrated using both simulated data sets based on the proposed valve stiction model and real industrial data sets. © 2007 American Chemical Society.
Original languageEnglish
Pages (from-to)4549-4560
Number of pages12
JournalIndustrial and Engineering Chemistry Research
Volume46
Issue number13
Early online date10 May 2007
DOIs
Publication statusPublished - Jun 2007
Externally publishedYes

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