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More About This Title Process Dynamics and Control - Modeling forControl and Prediction
English
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.
English
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.
Dr.Ben H. L. Betlem, University of Twente, The Netherlands.
English
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.
