Detection and Diagnosis of Stiction in Control Loops: State of the Art and Advanced Methods - Advances in Industrial Control

Marc Notes: Includes bibliographical references (pages 377-382) and index. Review Quotes: 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) Table of Contents: Stiction Modelling and Oscillation Detection.- Stiction Modelling.- An Alternative Stiction-modelling Approach and Comparison of Different Stiction Models.- Detection of Oscillating Control Loops.- Advances in Stiction Detection and Quantification.- Shape-based Stiction Detection.- Stiction Detection Based on Cross-correlation and Signal Shape.- Curve Fitting for Detecting Valve Stiction.- A Relay-based Technique for Detection of Stiction.- Shape-based Stiction Detection Using Area Calculations.- Estimation of Valve Stiction Using Separable Least-squares and Global Search Algorithms.- Stiction Estimation Using Constrained Optimisation and Contour Map.- Oscillation Root-cause Detection and Quantification Under Multiple Faults.- Comparative Study of Valve-stiction-detection Methods.- Conclusions and Future Research Challenges. Review Quotes: 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)"Biographical Note: 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 area including 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)."Jacket Description/Back: 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(r)-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."Publisher Marketing: 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(r)-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, 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.

Contributor Bio:  Huang, Biao Biao Huang is a professor and researcher in the area of subspace identification, predictive control, and control performance monitoring with 20-yearsa (TM) worth of experience in this field. He has received numerous awards for his contributions in these areas including Germanya (TM)s Alexander von Humboldt Research Fellowship award, the Canadian Chemical Engineering Societya (TM)s Syncrude Canada Innovation Award, the University of Albertaa (TM)s McCalla Professorship award, and Petro-Canada Young Innovator Award, and recipient of the best paper award for Journal of Process Control. Internationally, Professor Huang is recognised as a leading expert in control-loop performance monitoring, his contributions in this area including Performance Assessment of Control Loops (1-85233-639-0). He has applied his expertise extensively in industrial practice particularly in the oil sands industry. His research contributions in control performance monitoring have enjoyed wide application in the chemical, petrochemical, oil and gas, mineral processing, and pulp and paper industries throughout the world. Professor Huang has also been actively involved in research activities in system identification, particularly in subspace identification. He has served on a number of national and international engineering and science communities including, Chair of CSChEa (TM)s System and Control Division, Associate Editor of CJChE, and Area Co-chair for IFAC ADCHEM and IFAC DYCOPS. 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 including, most recently, aninvited speech representing academia in the Round Table on Asset Management and the Round Table on Nonlinear System Identification, in the International Workshop on Solving Industrial Control and Optimization Problems, Cramado, Brazil, 6th a" 7th April 2006. Dr. Ramesh Kadali is currently a practising process control engineer in Sunco Inc. Canada and has extensive experiences in applying system identification, model predictive control, and control performance monitoring in real industrial processes. His PhD research was on the data-driven subspace approach to predictive control design and performance analysis.