Roffel / Betlem Process Dynamics and Control

Modeling for Control and Prediction
Erscheinungsjahr 2007
ISBN: 978-0-470-05877-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 560 Seiten, E-Book

Offering a different approach to other textbooks in the area, thisbook is a comprehensive introduction to the subject divided inthree broad parts. The first part deals with building physicalmodels, the second part with developing empirical models and thefinal part discusses developing process control solutions. Theoryis discussed where needed to ensure students have a fullunderstanding of key techniques that are used to solve a modelingproblem.
Hallmark Features:
* Includes worked out examples of processes where the theorylearned early on in the text can be applied.
* Uses MATLAB simulation examples of all processes and modelingtechniques- further information on MATLAB can be obtained fromwww.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 undergraduatestudents within chemical engineering and other engineeringdisciplines looking for a comprehensive introduction to thesubject. It is also of use to practitioners of process controlwhere the integrated approach of physical and empirical modeling isparticularly valuable.

Autoren/Hrsg.

Roffel, Brian

Betlem, Ben

Inhaltsverzeichnis

Foreword.
Preface.
Acknowledgement.
1 Introduction to Process Modelling.
2 Process Modelling Fundamentals.
3 Extended Analysis of Modelling for ProcessOperation.
4 Design for Process Modelling and BehaviouralModels.
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 andCardiovascular 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 SpaceModelling.
26 Model Reduction.
27 Neural Networks.
28 Fuzzy Modelling.
29 Neuro Fuzzy Modelling.
30 Hybrid Models.
31 Introduction to Process Control andInstrumentation.
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.