Advanced Control Foundation : Tools, Techniques, and Applications

In this book the authors address the concepts and terminology that are needed to apply advanced control techniques in the process industry. The book is written for the process or control engineer that is familiar with traditional control but has little or no experience in designing, installing, commissioning and maintaining advanced control applications. Each chapter of the book is structured to allow a person to quickly understand the technology and how it is applied. Application examples are used to show what is required to address an application. Also, a section of each chapter is dedicated to a more in-depth discussion of the technology for the reader that is interested in understanding the mathematically basis for the technology. A workshop is provided at the end of each chapter that explores the technology. The reader may view the workshop solution by going to the web site that accompanies the book.

The book provides comprehensive coverage of the major advanced control techniques that are most commonly used in the process industry. This includes tools for monitoring control system performance, on-demand and adaptive tuning techniques, model predictive control, LP optimization, data analytics for batch and continuous processes, fuzzy logic control, neural networks and advancements in PID to use with wireless measurements. Since many readers may work with an existing DCS that does not support advanced control, a chapter of the book is dedicated to tools and techniques that the authors have found useful in integrating advanced control tools into an existing control system. Also, one chapter of the book addresses how dynamic process simulations may be easily created in a DCS to support checkout and operator training on the use of advanced control.

Acknowledgments
About The Authors
Foreword

Chapter 1 : Introduction
Chapter 2 : Maximizing Return on Control System Investment
Chapter 3 : Evaluating Control System Performance
Chapter 4 : On-Demand Tuning
Chapter 5 : Adaptive Tuning
Chapter 6 : Fuzzy Logic Control
Chapter 7 : Neural Networks for Property Estimation
Chapter 8 : Intelligent Pid
Chapter 9 : Continuous Data Analytics
Chapter 10 : Batch Data Analytics
Chapter 11 : Simple Mpc
Chapter 12 : Mpc Integrated with Optimization
Chapter 13 : On-Line Optimization
Chapter 14 : Process Simulation
Chapter 15 : Integrating Advanced Control into a Dcs

Bibliography
Appendix A
Glossary of Terms
Index