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Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) [Hardcover]

Babatunde A. Ogunnaike (Author), W. Harmon Ray (Author)
5.0 out of 5 stars  See all reviews (4 customer reviews)

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Book Description

November 17, 1994 0195091191 978-0195091199
This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments.
The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.

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Editorial Reviews

Review

"An excellent and comprehensive book with updated treatment of important modern topics."--William Clements, University of Alabama

"A very good textbook. I especially like the Examples, Problems and Recommended Reading. The material is presented clearly and in an orderly sequence."--Robert Ahlert, Rutgers

About the Author


Babatunde Ogunnaike is Senior Research Associate at E.I. duPont de Nemours and Company and Adjunct Professor in the Chemical Engineering Department at the University of Delaware.
W. Harmon Ray is Steenbock Professor of Engineering in the Chemical Engineering Department at the University of Wisconsin.

Product Details

  • Hardcover: 1296 pages
  • Publisher: Oxford University Press, USA (November 17, 1994)
  • Language: English
  • ISBN-10: 0195091191
  • ISBN-13: 978-0195091199
  • Product Dimensions: 10 x 7.3 x 2 inches
  • Shipping Weight: 5.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #598,332 in Books (See Top 100 in Books)

More About the Author

Babatunde A. ("Tunde") Ogunnaike received the B.Sc. degree (with First Class Honors) in Chemical Engineering from the University of Lagos, Nigeria, in 1976; the M.S. degree, in Statistics from the University of Wisconsin-Madison in 1981; and the Ph.D. degree in Chemical Engineering also from the University of Wisconsin-Madison in 1981. From 1981 to 1982, he was a Research Engineer with the Process Control group of the Shell Development Corporation in Houston, Texas; and from 1982 to 1988, he was a professor at the University of Lagos with joint appointments in the Chemical Engineering and the Statistics Departments. He joined the Advanced Control and Optimization group of DuPont Central Science and Engineering in 1989. From 1995 until September 2002, he was a Research Fellow in DuPont Chemical Sciences and Engineering. An Adjunct Professor in the Chemical Engineering Department of the University of Delaware since 1989, he joined the faculty as a full professor in September 2002 and was named the William L. Friend professor of Chemical Engineering in January 2004. He is the author or co-author of three books including a widely used textbook, Process Dynamics, Modeling and Control, published in 1994 by Oxford University Press and the more recent Random Pehnomena: Fundamentals of probability and Statistics for Engineers, published in 2009 by CRC press; he is also an Associate Editor of the journal Industrial and Engineering Chemistry Research.

Dr. Ogunnaike's research interests include modeling and control of industrial processes (polymer reactors, extruders, distillation columns); identification and control of nonlinear systems; the application of process analytical technology for control of particulate processes and bioprocesses; the interaction of process design and process operability; applied statistics; reverse engineering biological control systems for process applications; and systems biology with application to neuronal responses and cancer. He is a consultant to several companies including DuPont, W.L. Gore, PPG Industries, and Corning.

Dr. Ogunnaike is the recipient of several honors including:
American Institute of Chemical Engineers 1998 CAST Computing Practice Award;
Texas A & M 2001 Lindsey Lecture
Illinois Institute of Technology 2002 Centennial Lecture Award
2004 University of Delaware's College of Engineering Excellence in Teaching award;
2005 University of Delaware Slocomb Excellence in Teaching Award
2007 Instrument Society of America's Donald P. Eckman Education Award
2008 Inaugural Texas A & M McFerrin Lecturer

 

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12 of 12 people found the following review helpful:
5.0 out of 5 stars The best primer in process control for chemical engineers, September 13, 1999
By A Customer
This review is from: Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) (Hardcover)
This book was the text for my undergraduate control course. It gave me a better background in process control than the other books I purchased to supplement my learning. I highly recommend this book over others such as Marlin.

Ogunnaike and Ray covers subjects such as root locus methods, tunings using frequency methods, and digital control.

Dr. Ogunnaike is also an excellent lecturer, so if you would like to take the course directly from him enroll at the University of Delaware - its well worth it.

I also recommend Essentials of Process Control by William Luyben to provide a good qualitative background in process control.

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11 of 11 people found the following review helpful:
5.0 out of 5 stars A practical introduction to process control, May 26, 1999
By A Customer
This review is from: Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) (Hardcover)
This book provides an excellent, practical introduction to process control from the view of Chemical Engineers.

The book begins by considering the development of dynamic process models. It covers practical questions such as which state variable (eg. height) should be controlled by which manipulated variable (eg. flowrate) by discussing the physical behaviour of the system, rather than the approach commonly used by control engineers of an electronics background.

The advantage of the book is that it then goes on to discuss tools such as Nyquist diagrams and Bode plots, and how they can be used to characterise a system's behaviour, in a simple and clear manner. It then addresses essential issues such as controller tuning.

Finally, the book briefly introduces advanced control topics, such as Kalman filters and Model based control, in simple terms which would give an interested reader a running start into these fields.

My only regret is that I have lost my personal copy!

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5 of 5 people found the following review helpful:
5.0 out of 5 stars A Comprehensive Introduction to Process Dynamics and Control for Chemical Engineers in One Volume, July 24, 2006
This review is from: Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) (Hardcover)
This book is designed to be used in a first undergraduate course in Process Dynamics and Control. Most of the examples in the book are taken from the chemical process industries, which makes this text an ideal tool for the chemical engineering student. Additionally all of the necessary mathematical tools are reviewed on the text itself, which also makes this book a complete reference considering the limited mathematical background of many undergraduate engineers.

The book is organized in six parts. Part I (chapters 1 to 2) provides introductory material that gives a practical perspective and motivation. These include examples to illustrate the basic concepts and the importance of process control in industry, practical examples of modern process control schemes, description of control systems hardware, basic measurement and computer data acquisition technology, fundamentals of digital computer and interfacing technologies, and finally a discussion of final control elements, as actuators, , pumps, valves, heaters, etc.

Part II (chapters 3 to 11) analyzes and characterizes the various types of dynamic behavior expected from a process. These include discussion of various representation and approaches for the formulation of dynamic models, with emphasis on how to select the model formulation most appropriated for the problem at hand. Then comes discussions of the fundamental dynamic response of various model types (Processes with time delays, inverse response, and nonlinearities, among others), and fundamentals of process stability analysis and its applications to the models discussed.

Part III (chapters 12 to 13) discusses methods for constructing process models and determining parameters for the models from experimental data. Both theoretical and empirical models are discussed and contrasted, complementing the material on identification methods, with a treatment of parameters estimation. The text provides sufficient examples to illustrate how each method works in practice.

Part IV introduces the treatment of control system design. Part IV-A (chapters 14 to 19) deals with single loop control systems and introduces the basic principles of controller structure and controller tuning methodology, for processes having the various types of process dynamics. Physical examples are used to illustrate the control system design in practical engineering terms. Part IV-B (chapters 20 to 22) introduces control systems for multivariable processes having interactions. Methods of characterizing loop interactions, choosing loop pairing, and designing various types of multivariable controllers are presented and illustrated through physical process examples, providing approaches for control system design that will work adequately for the overwhelming majority of practical multivariable control problems encountered in practice. Part IV-C (chapters 23 to 26) introduces the principles of sampled-data process control. These include modeling and analysis of discrete-time systems, stability analysis tools, and control system design methods for these dynamic systems.

Part V (chapter 27 to 30) provides an overview of important special topics, too advanced for an in-depth coverage by an introductory book. These include Model-predictive control, statistical process control, state estimation, robust control system design, control of spatial profiles (distributed parameter systems), on-line intelligence and computer aided-design of control systems. The last chapter in part V consists of a series of case studies where the reader is led through the steps of control system synthesis for some representative chemical processes and then shown the performance of the processes after employing the controller.

Part VI provides the Appendices, where substantial material is presented to complement the book.

Even though the book is designed for Chemical Engineering students, this text would also be suitable for students in mechanical, nuclear, industrial, and electrical engineering. I am an Industrial Practitioner of Process Measurement & Control who has been working in the Process Industries for more than 16 years as an Automation, Instrumentation, Process Safety and Process Control Engineer. My academic background is in electrical and electronics engineering (I am an Electronic Engineer), not in chemical engineering as might be the case of the usual reader of this book, but working in the Oil & Gas Industry all this time, I have been dealing with Chemical-Process Control issues in a day-to-day basics. I found this book to be a very useful reference and refresher to gain a better understanding of Modern Process Control Applications.

If you are a practitioner of Process Control you may want to consider also "Instrument Engineers' Handbook, Fourth Edition, Volume Two: Process Control and optimization" by Bela Liptak, for its practical and comprehensive coverage of Process Control.
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Inside This Book (learn more)
First Sentence:
A formal introduction to the role of process control in the chemical process industry is important for providing motivation and laying the foundation for the more detailed study of Process Dynamics, Modeling, and Control contained in the upcoming chapters. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
direct synthesis controller, process whose transfer function, continuous signal reconstruction, mixing tank system, dynamic decoupler, following deviation variables, ideal forcing functions, following transfer function model, relative gain parameter, scheduled adaptive control, stirred heating tank, pulse transfer function, stirred mixing tank, direct synthesis tuning, interactions among the process variables, jacket cooling water flowrate, simplified decoupler, theoretical step response, underdefined systems, function matrix model, block diagrammatic representation, system simulation package, ultimate periodic response, control action implementation, process dynamics problem
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Shewart Chart, Englewood Cliffs, Dynamic Matrix Control, Generic Model Control, Primary Attributes, Model Algorithmic Control, Revisit Problem, Research Triangle Park, Control Conf, San Francisco, Suggested Techniques, Western Electric, Time Sequence, Academic Press, Journal of Quality Technology, Real Axis Figure, Sherlock Holmes, Shift Implemented, Significant Nonlinearity, Significant Process Interactions, Sir Arthur Conan Doyle, Amplitude Frequency, Computer Controlled Systems, Open-loop Bode
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