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Detection and Diagnosis of Stiction in Control Loops

State of the Art and Advanced Methods

  • Mohieddine Jelali
  • Biao Huang

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

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Introduction

    1. Mohieddine Jelali, Biao Huang
      Pages 1-18
  3. Stiction Modelling and Oscillation Detection

    1. Front Matter
      Pages 19-19
    2. M.A.A. Shoukat Choudhury, Nina F. Thornhill, Manabu Kano, Sirish L. Shah
      Pages 21-35
    3. Srinivas Karra, Mohieddine Jelali, M. Nazmul Karim, Alexander Horch
      Pages 61-100
  4. Advances in Stiction Detection and Quantification

    1. Front Matter
      Pages 101-101
    2. Manabu Kano, Yoshiyuki Yamashita, Hidekazu Kugemoto
      Pages 103-113
    3. Q. Peter He, S. Joe Qin
      Pages 149-163
    4. Claudio Scali, Maurizio Rossi
      Pages 165-181
    5. Timothy I. Salsbury, Ashish Singhal
      Pages 183-204
    6. Kwan Ho Lee, Zhengyun Ren, Biao Huang
      Pages 229-266
    7. Mohieddine Jelali, Claudio Scali
      Pages 295-358
    8. Biao Huang, Mohieddine Jelali, Alexander Horch
      Pages 359-366
  5. Back Matter
    Pages 367-391

About this book

Introduction

The presence of non-linearities, such as stiction and deadband, places limits on the performance of control valves. Indeed, in the process industries, stiction is the most common valve problem, and over the last decade numerous different techniques for overcoming it have been proposed.

Detection and Diagnosis of Stiction in Control Loops 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 www.ualberta.ca/~bhuang/stiction-book 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 and 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. Industry-based engineers will find the book to be valuable guidance in increasing the performance of their control loops while academic researchers and graduate students interested in control performance and fault detection will discover a wealth of static-friction-related research and useful algorithms.

Keywords

Control Applications Control Engineering Control Valves Fault Diagnosis Matlab Oscillation Performance Monitoring Static Friction Stiction control fault detection friction modeling optimization process control

Editors and affiliations

  • Mohieddine Jelali
    • 1
  • Biao Huang
    • 2
  1. 1.Department of Plant and System TechnologyVDEh-Betriebsforschungsinstitut GmbH (BFI)DüsseldorfGermany
  2. 2.Department of Chemical and Materials EngineeringUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84882-775-2
  • Copyright Information Springer-Verlag London 2010
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84882-774-5
  • Online ISBN 978-1-84882-775-2
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site