Advanced Control Unleashed: Plant Performance Management for Optimum Benefit

by Blevins, Terrence L.; McMillan, Gregory K.; Wojsznis, Willy K.; Brown, Michael W.

• ISBN13: 9781556178153
• ISBN10: 1556178158
• Format: Hardcover
• Copyright: 2003-10-01
• Publisher: Isa

Summary

There has been a dynamic development of control over the past 50 years. Many new methods have appeared. The methods have traditionally been presented in highly specialized books written for researchers or engineers with advanced degrees in control theory. These books have been very useful to advance the state of the art but are difficult, however, for an average engineer. It is thus highly desirable to present the industrially proven control methods to ordinary engineers working in industry. Advanced Control Unleashedprovides a basis for assessing the benefits of advanced control. The book covers auto-tuning, model predictive control, optimization, estimators, neural networks, fuzzy control, simulators, expert systems, diagnostics, and performance assessment. It is written by four seasoned practitioners of control, having jointly more than 100 years of real industrial experience in the development and use of advanced control. The book is well positioned to provide the bridge over the infamous Gap between Theory and Practice in control. As an added bonus, the book includes a CD that helps bridge theoretical concepts and practical implementations by providing real DeltaV simulations and displays. This interactive CD offers practical design, simulation, and implementation examples that make key examples in the book come alive. Configuration and case files are supplied for a hands-on experience and PowerPoint files suitable for lectures on each unit are also included.

Table of Contents

Acknowledgement	xiii
About the Authors	xv
Foreword	xvii
Introduction	1	(4)
Setting the Foundation	5	(84)
Practice	5	(15)
Overview	5	(7)
Opportunity Assessment	12	(3)
Examples	15	(5)
Application	20	(56)
General Procedure	20	(6)
Application Detail	26	(48)
Rules of Thumb	74	(2)
Theory	76	(9)
Process Time Constants and Gains	76	(3)
Process Time Delay	79	(1)
Ultimate Gain and Period	80	(2)
Peak and Integrated Error	82	(2)
Feedforward Control	84	(1)
Dead Time from Valve Dead Band	84	(1)
Nomenclature	85	(1)
References	86	(3)
APC Pathways	89	(30)
Practice	89	(17)
Overview	89	(5)
Opportunity Assessment	94	(9)
Examples	103	(3)
Application	106	(10)
General Procedure	106	(2)
Application Detail	108	(7)
Rules of Thumb	115	(1)
References	116	(3)
Evaluating System Performance	119	(44)
Practice	119	(10)
Overview	119	(2)
Opportunity Assessment	121	(4)
Examples	125	(4)
Application	129	(18)
General Procedure	129	(2)
Application Details	131	(12)
Rules of Thumb	143	(1)
Guided Tour	144	(3)
Theory	147	(13)
Using Statistics for Control Performance Evaluation	150	(3)
Extending the Concept to the Multi-variable Environment	153	(1)
Addressing Advanced Control	154	(2)
Diagnostic Tools	156	(4)
References	160	(3)
Abnormal Situation Management	163	(20)
Practice	163	(5)
Overview	163	(2)
Opportunity Assessment	165	(1)
Examples	166	(2)
Application	168	(9)
General Procedure	168	(1)
Application Details	169	(2)
Rules of Thumb	171	(2)
Guided Tour	173	(4)
Theory	177	(5)
Introduction to Expert Systems	177	(1)
Rules	178	(2)
Inference Engine	180	(1)
Facts	181	(1)
References	182	(1)
Automated Tuning	183	(56)
Practice	183	(14)
Overview	183	(2)
Opportunity Assessment	185	(2)
Examples	187	(10)
Application	197	(11)
General Procedure	197	(3)
Application Detail	200	(2)
Rules of Thumb	202	(4)
Guided Tour	206	(2)
Theory	208	(29)
Introduction to Auto Tuners	208	(2)
Basics of Relay-Oscillation Tuning	210	(8)
Model Based Tuning	218	(3)
Robustness Based Tuning	221	(4)
Adaptive Control	225	(12)
References	237	(2)
Fuzzy Logic Control	239	(22)
Practice	239	(2)
Overview	239	(1)
Opportunity Assessment	240	(1)
Examples	240	(1)
Application	241	(3)
General Procedure	241	(1)
Rules of Thumb	242	(1)
Guided Tour	242	(2)
Theory	244	(15)
Introduction to Fuzzy Logic Control	244	(3)
Building a Fuzzy Logic Controller	247	(4)
Fuzzy Logic PID Controller	251	(3)
Fuzzy Logic Control Nonlinear PI Relationship	254	(3)
FPID and PID Relations	257	(1)
Automation of Fuzzy Logic Controller Commissioning	258	(1)
References	259	(2)
Properties Estimation	261	(46)
Practice	261	(13)
Overview	261	(2)
Opportunity Assessment	263	(2)
Example --- Dynamic Linear Estimator	265	(4)
Examples -- Neural Networks	269	(5)
Application	274	(20)
General Procedure	274	(5)
Application Detail	279	(10)
Rules of Thumb	289	(1)
Guided Tour	289	(5)
Theory	294	(11)
Dynamic Linear Estimator	294	(2)
Neural Networks	296	(9)
References	305	(2)
Model Predictive Control	307	(76)
Practice	307	(30)
Overview	307	(3)
Opportunity Assessment	310	(6)
Examples	316	(21)
Application	337	(25)
General Procedure	337	(2)
Application Detail	339	(14)
Rules of Thumb	353	(2)
Guided Tour	355	(7)
Theory	362	(19)
The Basics of Process Modeling	364	(3)
Identifying the Process Model	367	(2)
Unconstrained Model Predictive Control	369	(4)
Integrating Constraints Handling, Optimization and Model Predictive Control	373	(8)
References	381	(2)
Virtual Plant	383	(26)
Practice	383	(6)
Overview	383	(3)
Opportunity Assessment	386	(1)
Examples	387	(2)
Application	389	(14)
General Procedure	389	(4)
Online Adaptation	393	(2)
Application Detail	395	(4)
Rules of Thumb	399	(1)
Guided Tour	400	(3)
Theory	403	(5)
References	408	(1)
Appendix A Additional Opportunity Assessment Questions	409	(6)
Appendix B Batch-To-Continuous Transition	415	(4)
Appendix C Definitions	419	(6)
Appendix D Top 20 Mistakes	425	(6)
Index	431