Process Dynamics and Control
Modeling for Control and Prediction
1st Edition
Published on 17. November 2006
Book
Hardback
560 pages
978-0-470-01663-3 (ISBN)
Description
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.
Uses MATLAB simulation examples of all processes and modeling techniques- further information on MATLAB can be obtained from www.mathworks.com
Includes supplementary website to include further references, worked examples and figures from the book
This book is structured and aimed at upper level undergraduate students within chemical engineering and other engineering disciplines looking for a comprehensive introduction to the subject. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable.
Hallmark Features:
Includes worked out examples of processes where the theory learned early on in the text can be applied.
Uses MATLAB simulation examples of all processes and modeling techniques- further information on MATLAB can be obtained from www.mathworks.com
Includes supplementary website to include further references, worked examples and figures from the book
This book is structured and aimed at upper level undergraduate students within chemical engineering and other engineering disciplines looking for a comprehensive introduction to the subject. It is also of use to practitioners of process control where the integrated approach of physical and empirical modeling is particularly valuable.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 251 mm
Width: 177 mm
Thickness: 37 mm
Weight
1191 gr
ISBN-13
978-0-470-01663-3 (9780470016633)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
01/2007
1st Edition
Wiley
€62.99
Available for download
Book
11/2006
1st Edition
Wiley
€71.75
Shipment within 10-20 days
Persons
Professor Brian Roffel, University of Twente, The Netherland
Professor 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.
Dr.Ben H. L. Betlem, University of Twente, The Netherlands.
Professor 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.
Dr.Ben H. L. Betlem, University of Twente, The Netherlands.
Content
Foreword. Preface.
Acknowledgement.
1 Introduction to Process Modelling.
2 Process Modelling Fundamentals.
3 Extended Analysis of Modelling for Process Operation.
4 Design for Process Modelling and Behavioural Models.
5 Transformation Techniques.
6 Linearization of Model Equations.
7 Operating points.
8 Process Simulation.
9 Frequency Response Analysis.
References.
10 General Process Behaviour
11 Analysis of a Mixing Process.
12 Dynamics of Chemical Stirred Tank Reactors.
13 Dynamic Analysis of Tubular Reactors.
14 Dynamic Analysis of Heat Exchangers.
15 Dynamics of Evaporators and Separators.
16 Dynamic Modelling of Distillation Columns.
17 Dynamic Analysis of Fermentation Reactors
18 Physiological Modeling: Glucose-Insulin Dynamics and Cardiovascular Modelling.
19 Introduction to Black Box Modelling.
20 Basics of Linear Algebra.
21 Data Conditioning.
22 Principal Component Analysis
23 Partial Least Squares
24 Time-series Identification.
25 Discrete Linear and Non-linear State Space Modelling.
26 Model Reduction.
27 Neural Networks.
28 Fuzzy Modelling.
29 Neuro Fuzzy Modelling.
30 Hybrid Models.
31 Introduction to Process Control and Instrumentation.
32 Behaviour of Controlled Processes.
33 Design of Control Schemes.
34 Control of Distillation Columns.
35 Control of a Fluid Catalytic Cracker.
Appendix A. Modelling an Extraction Process.
A1: Problem Analysis.
A2: Dynamic Process Model Development.
A3 Dynamic Process Model Analysis.
A4 Dynamic Process Simulation.
A5: Process Control Simulation.
Hints.
Index.
Acknowledgement.
1 Introduction to Process Modelling.
2 Process Modelling Fundamentals.
3 Extended Analysis of Modelling for Process Operation.
4 Design for Process Modelling and Behavioural Models.
5 Transformation Techniques.
6 Linearization of Model Equations.
7 Operating points.
8 Process Simulation.
9 Frequency Response Analysis.
References.
10 General Process Behaviour
11 Analysis of a Mixing Process.
12 Dynamics of Chemical Stirred Tank Reactors.
13 Dynamic Analysis of Tubular Reactors.
14 Dynamic Analysis of Heat Exchangers.
15 Dynamics of Evaporators and Separators.
16 Dynamic Modelling of Distillation Columns.
17 Dynamic Analysis of Fermentation Reactors
18 Physiological Modeling: Glucose-Insulin Dynamics and Cardiovascular Modelling.
19 Introduction to Black Box Modelling.
20 Basics of Linear Algebra.
21 Data Conditioning.
22 Principal Component Analysis
23 Partial Least Squares
24 Time-series Identification.
25 Discrete Linear and Non-linear State Space Modelling.
26 Model Reduction.
27 Neural Networks.
28 Fuzzy Modelling.
29 Neuro Fuzzy Modelling.
30 Hybrid Models.
31 Introduction to Process Control and Instrumentation.
32 Behaviour of Controlled Processes.
33 Design of Control Schemes.
34 Control of Distillation Columns.
35 Control of a Fluid Catalytic Cracker.
Appendix A. Modelling an Extraction Process.
A1: Problem Analysis.
A2: Dynamic Process Model Development.
A3 Dynamic Process Model Analysis.
A4 Dynamic Process Simulation.
A5: Process Control Simulation.
Hints.
Index.