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Control Performance Management in Industrial Automation: Assessment, Diagnosis and Improvement of Control Loop Performance

Control Performance Management in Industrial Automation: Assessment, Diagnosis and Improvement of Control Loop Performance
Kataloginformation
Feldname Details
Vorliegende Sprache eng
ISBN 978-1-4471-4545-5
Name Jelali, Mohieddine
T I T E L Control Performance Management in Industrial Automation
Zusatz zum Titel Assessment, Diagnosis and Improvement of Control Loop Performance
Verlagsort London
Verlag Springer
Erscheinungsjahr 2013
2013
Umfang Online-Ressource (XXVII, 480 p. 240 illus., 168 illus. in color, digital)
Reihe Advances in Industrial Control
Notiz / Fußnoten Description based upon print version of record
Weiterer Inhalt Control Performance Management in Industrial Automation; Series Editors' Foreword; Preface; Aim of the Book; Contributions of the Book; Readership; Acknowledgements; Copyright Acknowledgements; Contents; Abbreviations and Acronyms; Chapter 1: Introduction; 1.1 Need for Control Performance Management (CPM); 1.1.1 Objectives and Importance of Control Assets; 1.1.2 State of Industrial Process Control Performance; 1.1.3 Root Causes of Control Performance Problems; 1.1.3.1 Inadequate Controller Tuning and Lack of Maintenance; 1.1.3.2 Equipment Malfunction or Poor Design. 1.1.3.3 Inappropriate Control Structure1.1.3.4 Automation System (Platform) Constraints; 1.2 Principle and Tasks of Control Performance Management; 1.2.1 Control Performance Indices; 1.2.2 Basic Procedure for Control Performance Management; 1.2.3 Controller Performance Assessment Benchmarks; 1.2.4 Challenges of Performance Monitoring Applications; 1.3 Key Dates of the Development of CPM Technology and Literature Survey; 1.4 Outline of the Book; Part I: Evaluation of the Level of Control Performance; Chapter 2: Assessment Based on Minimum-Variance Principles; 2.1 System Descriptions and Basics. 2.1.1 Note on Input-Output Models2.2 Minimum-Variance Control (MVC); 2.3 Auto-Correlation Test for Minimum Variance; 2.4 Minimum-Variance Index/Harris Index; 2.4.1 Estimation from Time-Series Analysis; 2.4.2 Estimation Algorithms; 2.4.2.1 Direct Least-Squares Estimation; 2.4.2.2 Online/Recursive Least-Squares Estimation; 2.4.2.3 Filtering and Correlation Analysis (FCOR) Method; 2.4.2.4 Examples; 2.5 Assessment of Feedback/Feedforward Controls; 2.6 Assessment of Set-Point Tracking and Cascade Control; 2.6.1 Performance Assessment of Cascade Control Systems. 2.6.2 Assessment of Different Tuning Strategies2.7 Summary and Conclusions; Chapter 3: User-Specified Benchmarking; 3.1 General Setting; 3.2 IMC-Achievable Performance Assessment; 3.2.1 IMC Design; 3.2.2 IMC Benchmark; 3.3 Extended Horizon Approach; 3.4 Performance Index Based on Desired Pole Locations; 3.5 Historical or Reference Benchmarks; 3.6 Reference-Model/Relative Performance Index; 3.6.1 Selection of the Reference Model; 3.6.2 Disturbance Estimation; 3.6.3 Selection of Critical Index Value; 3.6.4 Index Properties; 3.7 Summary and Conclusions. Chapter 4: Advanced Control Performance Assessment4.1 Generalised Minimum-Variance Control (GMVC) Benchmarking; 4.1.1 GMV Control; 4.1.2 Selection of Weightings; 4.1.3 GMVC with Static Weightings; 4.1.4 Assessment Index and Procedure; 4.2 Linear-Quadratic Gaussian (LQG) Benchmarking; 4.2.1 Classical LQG Framework; 4.2.2 Polynomial Domain Approach; 4.2.3 LQG Framework as Special Case of MPC; 4.2.4 Subspace-Based LQG Design; 4.2.5 Generation of the LQG Performance Limit Curve; 4.2.6 LQG Assessment Using Routine Operating Data; 4.2.6.1 Confidence Limits for Variances. 4.3 Model Predictive Control (MPC) Assessment. Introduction -- Assessment Based on Minimum Variance Principles -- User-specified Benchmarking -- Advanced Control Performance Assessment -- Deterministic Controller Assessment -- Minimum Variance Assessment of Multivariable Control Systems -- Selection of Key Factors and Parameters in Assessment Algorithms -- Statistical Process Control -- Detection of Oscillating Control Loops -- Detection of Loop Non-linearities -- Diagnosis of Stiction-related Actuator Problems -- Complete Oscillation Diagnosis Based on Hammerstein Modelling -- Performance Monitoring and Improvement Strategies -- Controller Auto-Tuning Based on Control Performance Monitoring -- Industrial CPM Technology and Applications -- Performance Monitoring of Metal Processing Control Systems -- Basic Signal Processing and Statistics -- Higher-order Statistics -- Control Loops from Different Industries.
Titelhinweis Buchausg. u.d.T.ISBN: 978-1-447-14545-5
ISBN ISBN 978-1-4471-4546-2
Klassifikation 50.22
TJFM
TEC004000
629.8
TJ212-225
Kurzbeschreibung Control Performance Management in Industrial Automation provides a coherent and self-contained treatment of a group of methods and applications of burgeoning importance to the detection and solution of problems with control loops that are vital in maintaining product quality, operational safety, and efficiency of material and energy consumption in the process industries. The monograph deals with all aspects of control performance management (CPM), from controller assessment (minimum-variance-control-based and advanced methods), to detection and diagnosis of control loop problems (process non-linearities, oscillations, actuator faults), to the improvement of control performance (maintenance, re-design of loop components, automatic controller re-tuning). It provides a contribution towards the development and application of completely self-contained and automatic methodologies in the field. Moreover, within this work, many CPM tools have been developed that goes far beyond available CPM packages.Control Performance Management in Industrial Automation: · presents a comprehensive review of control performance assessment methods;· develops methods and procedures for the detection and diagnosis of the root-causes of poor performance in complex control loops;· covers important issues that arise when applying these assessment and diagnosis methods;· recommends new approaches and techniques for the optimization of control loop performance based on the results of the control performance stage; and· offers illustrative examples and industrial case studies drawn from - chemicals, building, mining, pulp and paper, mineral and metal processing industries.This book will be of interest to academic and industrial staff working on control systems design, maintenance or optimisation in all process industries.Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
SWB-Titel-Idn 37537728X
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-1-4471-4546-2
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