PROCESS DYNAMICS MODELING AND CONTROL PDF

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Lindennan Process Dynamics, Modeling, and Control B. Ogunnaike and W. H. Ray process dynamics, modeling, and control BABATUNDE A. OGUNNAIKE E. I. . Princeton University. Receptors: Models for Binding, Trafficking, and Signalling. D. Lauffenburger and f. Lindennan. Process Dynamics, Modeling, and Control. process dynamics, mo de lin g, an d control TOPICS IN CHEMICAL ENGINEERING A Series of Textbooks and Monograph s SERI.


Process Dynamics Modeling And Control Pdf

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Ebooksclub Org Process Dynamics Modeling and Control Topics in Chemical Engineering - Ebook download as PDF File .pdf), Text File .txt) or read. Process Dynamics, Modelling, and Control. Babatunde A. Ogunnaike, W. HArmon Ray. Oxford University Press, Oxford , Seotem. Zahlr. Abb. und Tab. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control.

This book is directed toward this need and is designed to be used in the first undergraduate courses in process dynamics and control. Although the most important material can be covered in one semester, the scope of material is appropriate for a two-semester course sequence as welL Most of the examples are taken from the chemical process industry; however, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments.

Bearing in mind the limited mathematical background of many undergraduate engineers, all of the necessary mathematical tools are reviewed in the text itself. Furthermore, the material is organized so that modem concepts are presented to the student but the details of the most advanced material are left to later chapters.

In this xviii PREFACE way, those prefering a lighter treatment of the subject may easily select coherent, self-consistent material, while those wishing to present a deeper, more comprehensive coverage, may go further into each topic. By providing this structure, we hope to provide a text which is easy to use by the occasional teacher of process control courses as well as a book which is considered respectable by the professor whose research specialty is process control.

The text material has been developed, refined, and classroom tested by the authors over many 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.

The text is designed to provide the theoretical background for courses having such a laboratory.

Most of the experiments in the Wisconsin laboratory appear as examples somewhere in the book. Review questions and extensive problems drawn from many areas of application are provided throughout the book so that students may test their comprehension of the material.

The book is organized into six parts. In Part I Chapters , introductory material giving perspective and motivation is provided. It begins with a discussion of the importance of process control in the process industries, with simple examples to illustrate the basic concepts.

The principal elements of a modem process control scheme are discussed and illustrated with practical process examples. Next, a rudimentary description of control system hardware is provided so that the reader -can visualize how control schemes are implemented.

This begins with a discussion of basic measurement and computer data acquisition methodology. Then the fundamentals of digital computers and interfacing technology are presented in order to introduce the basic concepts to the reader. Finally, control actuators such as pumps, valves, heaters, etc.

The purpose of the chapter is to provide some practical perspective, before beginning the more theoretical material which follows. Part II Chapters analyzes and characterizes the various types of dynamic behavior expected from a process and begins by providing an introduction to the basic mathematical and analysis tools necessary for the engineering material to be studied.

Process Dynamics and Control: Modeling for Control and Prediction

This is followed by a discussion of various representations and approaches in the formulation of dynamic models. The emphasis is on learning how to select the model formulation most appropriate for the problem at hand.

The essential features of state-space, transformdomain, frequency-response, and impulse-response models are presented and compared. Then comes a discussion of the fundamental dynamic response of various model types. Processes with time delays, inverse response, and nonlinearities are among the classes considered in some detail.

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The fundamentals of process stability analysis are then introduced and applied to the models under discussion. Methods for constructing process models and determining parameters for the model from experimental data are discussed in Part Ill Chapters Both theoretical and empirical models are discussed and contrasted.

Complementing the usual material on step, pulse, or frequency response identification methods, is a treatment of parameter estimation for models represented by difference and differential equations.

Sufficient examples are provided to allow the student to see how each method works in practice.

Part IVA Chapters deals with single loop control systems and introduces the basic principles of controller structure e. The choice of controller type is discussed for processes having the various types of process dynamics described in Part II. Physical examples are used to illustrate the control system design in practical engineering terms.

Control system design for multivariable processes having interactions is introduced in Part IVB Chapters Methods of characterizing loop interactions, choosing loop pairing, and designing various types of multivariable controllers are presented and illustrated through physical process examples.

While not bringing the reader to the frontiers of research, this section of the book acquaints one with the most important issues in multivariable control and provides approaches to control system design which will work adequately for the overwhelming majority of practical multivariable control problems encountered in practice.

Undetected country. NO YES. Process Dynamics and Control: Modeling for Control and Prediction.

Process Dynamics, Modeling, and Control

Selected type: Added to Your Shopping Cart. Offering a different approach to other textbooks in the area, this book is a comprehensive introduction to the subject divided in three broad parts. The first part deals with building physical models, the second part with developing empirical models and the final part discusses developing process control solutions.

Theory is discussed where needed to ensure students have a full understanding of key techniques that are used to solve a modeling problem.

Hallmark Features: Includes worked out examples of processes where the theory learned early on in the text can be applied. About the Author Professor Brian Roffel, University of Twente, The Netherland sProfessor Roffel has been teaching researching and managing research in the areas of analysis, simulation, control and optimization of process for over twenty years. In addition twelve years spent working in the chemical process industry gives his theoretical knowledge a practical grounding.

Professor Roffel is part of a consortium of eight European Universities working on nonlinear multivariable control. He has also been involved in the practical implementation of advanced control in the chemical industry, in particular multivariable control and optimization.

Ben H. Betlem , University of Twente, The Netherlands.In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments.

Process Dynamics, Modeling, and 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. Use the link below to share a full-text version of this article with your friends and colleagues. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable.

Bearing in mind the limited mathematical background of many undergraduate engineers, all of the necessary mathematical tools are reviewed in the text itself. Volume 68 , Issue 6. There was a problem filtering reviews right now.

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