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.
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.
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!