An Alternative Stiction-modelling Approach and Comparison of Different Stiction Models

Q. Peter HE, Jin WANG, S. Joe QIN

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterResearchpeer-review

6 Citations (Scopus)


Due to the adverse impact of valve stiction in the process industry, both physical models and empirical data-driven models have been developed in the past decade to investigate the valve-stiction behaviour. Chapter 2 presented two data-driven models: Choudhury’s model and Kano’s model. In this chapter, we focus on another data-driven modelling approach (i.e. He’s model).We compare different data-driven models against a well-established physical model. The comparison is carried out in several aspects, including model assumptions, valve signatures generated by the models, and closed-loop behaviour when valve models are included in a closed-loop system. A new data-driven model is proposed based on a thorough analysis of the physical model and its effectiveness in simulating valve stiction is demonstrated.
Original languageEnglish
Title of host publicationDetection and Diagnosis of Stiction in Control Loops : State of the Art and Advanced Methods
EditorsMohieddine JELALI, Biao HUANG
Number of pages23
ISBN (Electronic)9781848827752
ISBN (Print)9781848827745
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameAdvances in Industrial Control
PublisherSpringer International Publishing
ISSN (Print)1430-9491
ISSN (Electronic)2193-1577


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