: Mohieddine Jelali, Biao Huang
: Mohieddine Jelali, Biao Huang
: Detection and Diagnosis of Stiction in Control Loops State of the Art and Advanced Methods
: Springer-Verlag
: 9781848827752
: 1
: CHF 85.90
:
: Elektronik, Elektrotechnik, Nachrichtentechnik
: English
: 391
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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 www.ualberta.ca/-bhuang/stict on-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.



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 ofHydraulic 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 ofControl Engineering Practice, Associate Editor ofCJChE. 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 ofPerformance Assessment of Control Loops (978-1-85233-639-4) andDynamic Modeling, Predictive Control and Performance Monitoring (978-1-84800-232-6).

Preface11
Copyright Acknowledgements15
Contents16
List of Contributors24
Abbreviations and Acronyms27
1 Introduction29
1.1 Motivation29
1.2 Typical Valve-controlled Loop30
1.3 Stiction Phenomenon and Related Effects32
1.4 Input Output Relation of Valves Under Stiction34
1.5 Limit Cycles due to Stiction37
1.6 Typical Observations in Control Loops with Sticky Valves40
1.7 Industrial Examples of Loops with Stiction43
1.8 Summary and Conclusions46
Part I: Stiction Modelling and Oscillation Detection47
2 Stiction Modelling48
2.1 Introduction49
2.2 Physics-based Stiction Modelling49
2.3 Data-driven Stiction Modelling51
2.4 Comparison Between Choudhury s and Kano s Stiction Models59
2.5 Summary and Conclusions62
3 An Alternative Stiction-modelling Approach and Comparison of Different Stiction Models63
3.1 Introduction63
3.2 He s Two-parameter Model64
3.3 Three Data-driven Models66
3.4 Further Investigation of Valve Stiction71
3.5 He s Three-parameter Model75
3.6 Simulation Results77
3.7 An Industrial Example82
3.8 Summary and Conclusions83
3.9 Appendix: Proof of the Equivalence Between He s Two- parameter and Three- parameter Model84
4 Detection of Oscillating Control Loops86
4.1 Introduction87
4.2 Root-causes for Oscillatory Control Loops87
4.3 Characterisation of Oscillations89
4.4 Techniques for Detection of Oscillations in Control Loops92
4.5 Critical Evaluation of Oscillation-detection Methods105
4.6 Comprehensive Oscillation Characterisation118
4.7 Industrial Case Studies119
4.8 Summary and Conclusions125
Part II Advances in Stiction Detection and Quantification126
5 Shape-based Stiction Detection127
5.1 Introduction127
5.2 Method Description128
5.3 Key Issues131
5.4 Simulation Results132
5.5 Application to Industrial Loops135
5.6 Summary and Conclusions137
6 Stiction Detection Based on Cross-correlation and Signal Shape138
6.1 Introduction138
6.2 The Cross-correlation Function140
6.3 Industrial Examples143
6.4 Theoretical Explanation149
6.5 Conclusions (Cross-correlation Method)154
6.6 Stiction Detection for Integrating Processes155
6.7 Detection in Integrating Loops Basic Idea155
6.8 Examples165
6.9 Self-regulating Processes166
6.10 Summary and Conclusions170
7 Curve Fitting for Detecting Valve Stiction171
7.1 Introduction171
7.2 Method Description173
7.3 Key Issues176
7.4 Simulation Results176
7.5 Application to Industrial Loops181
7.6 Summary and Conclusions183
8 A Relay-based Technique for Detection of Stiction186
8.1 Introduction187
8.2 Trends of Differe