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Detection and Diagnosis of Stiction in Control Loops

State of the Art and Advanced Methods

  • Book
  • © 2010


  • Provides the reader with answers to the most common source of valve problems in process control
  • Comparative review of state-of-the-art algorithms brings the reader up to date and able to choose the most appropriate solution for a given system
  • Case studies drawn from a variety of industries show that the methods demonstrated are both adaptable and effective
  • Includes supplementary material:

Part of the book series: Advances in Industrial Control (AIC)

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About this book

In the process industries, stiction is the most common performance-limiting valve problem and over the last decade numerous different techniques for overcoming it have been proposed.

This book represents a comprehensive presentation of these methods, including their principles, assumptions, strengths and drawbacks. Guidelines and working procedures are provided for the implementation of each method and MATLAB®-based software can be downloaded from enabling readers to apply the methods to their own data. Methods for the limitation of stiction effects are proposed within the general context of: oscillation detection in control loops, stiction detection, diagnosis and stiction quantification and diagnosis of multiple faults.

The state-of-the-art algorithms presented in this book are demonstrated and compared in industrial case studies of diverse origin – chemicals, building, mining, pulp and paper, mineral and metal processing.

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Table of contents (14 chapters)

  1. Introduction

  2. Stiction Modelling and Oscillation Detection

  3. Advances in Stiction Detection and Quantification


From the reviews:

“This book is a collection of contributions from several researchers involved in automatic detection and diagnosis of static friction (stiction) in control loops where the process is manipulated by valves. … The book aims to provide researchers and practicing engineers with a survey of the state-of-the-art in this area of control engineering.” (IEEE Control Systems Magazine, Vol. 30, October, 2010)

Editors and Affiliations

  • Department of Plant and System Technology, VDEh-Betriebsforschungsinstitut GmbH (BFI), Düsseldorf, Germany

    Mohieddine Jelali

  • Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada

    Biao Huang

About the editors

Mohieddine Jelali is Project Manager and Vice-Head of Department of Plant and System Technology at VDEh Betriebsforschungsinstitut (BFI), the Applied Research Institute of the German Steel Industry. He received his Dipl. Eng. and Dr. Eng. degrees in Mechanical Engineering from the University of Duisburg, Germany, in 1993 and 1997, respectively. Before joining BFI in 1999, he worked for three years with Mannesmann Demag Metallurgy as an R and D Engineer on the design and application of advanced process control systems in rolling mills. For more than a decade Doctor Jelali has worked in the areas of advanced (model-predictive) control and control performance monitoring as the initiator and coordinator of multinational research projects in the field of metal processing. He has filed patents related to this. M. Jelali has received the Medal of the Werner-von-Siemens-Stiftung for his excellent research in the field of control in the rolling. He has published about 40 papers on process control and related topics in different international journals and conference proceedings. He is the principal author of Hydraulic Servo-systems: Modelling, Identification and Control (978-1-85233-692-9) published by Springer in 2002. He is a member of VDEh, VDI, GMA, and DUG.

Biao Huang is a Professor and researcher in system identification and control performance monitoring. He has received a number of awards for his contributions in these areas including Germany’s Alexander von Humboldt Research Fellowship award, Canadian Chemical Engineeriing Society’s Syncrude Canada Innovation Award, University of Alberta’s McCalla Professorship award, and Petro-Canada Young Innovator Award, and has been the recipient of best paper award for Journal of Process Control. Biao Huang has worked specifically in systems and control over the last 20 years. He is one of the leading experts in control loop performance monitoring, and has made contributions in this areaincluding a book published by Springer. Biao Huang applied his expertise extensively in industrial practice particularly in oil sands industry. His research contributions in control performance monitoring have enjoyed widely applications in chemical, petrochemical, oil and gas, mineral processing, and pulp and paper industries throughout the world. He has served on a number of national and international engineering and science communities including as Chair of CSChE’s System and Control Division, Associate Editor of Control Engineering Practice, Associate Editor of CJChE. Since 1997 Biao Huang has published over 100 refereed papers in international journals and conference proceedings. He has been invited to speak in a number of institutions as well as workshops worldwide. He is the author of Performance Assessment of Control Loops (978-1-85233-639-4) and Dynamic Modeling, Predictive Control and Performance Monitoring (978-1-84800-232-6).

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