Understanding Process Dynamics and Control

Erscheinungsjahr 2021
ISBN: 978-1-107-03558-4
Verlag: Cambridge University Press

Buch, Englisch, 784 Seiten, Format (B × H): 196 mm x 249 mm, Gewicht: 1814 g

Reihe: Cambridge Series in Chemical Engineering

Presenting a fresh look at process control, this new text demonstrates state-space approach shown in parallel with the traditional approach to explain the strategies used in industry today. Modern time-domain and traditional transform-domain methods are integrated throughout and explain the advantages and limitations of each approach; the fundamental theoretical concepts and methods of process control are applied to practical problems. To ensure understanding of the mathematical calculations involved, MATLAB® is included for numeric calculations and MAPLE for symbolic calculations, with the math behind every method carefully explained so that students develop a clear understanding of how and why the software tools work. Written for a one-semester course with optional advanced-level material, features include solved examples, cases that include a number of chemical reactor examples, chapter summaries, key terms, and concepts, as well as over 240 end-of-chapter problems, focused computational exercises and solutions for instructors.

Autoren/Hrsg.

Kravaris, Costas

Kookos, Ioannis K

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Chemische Verfahrenstechnik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung

Inhaltsverzeichnis

Contents; Preface; 1. Introduction; 2. Dynamic Models for Chemical Process Systems; 3. First Order Systems; 4. Connections of First Order Systems; 5. Second Order Systems; 6. Linear Higher Order Systems; 7. Eigenvalue Analysis – Asymptotic Stability; 8. Transfer Function Analysis of the Input/Output Behavior; 9. Frequency Response; 10. The Feedback Control System; 11. Block Diagram Reduction and Transient Response Calculation in a Feedback Control System; 12. Steady-State and Stability Analysis of the Closed Loop System; 13. State Space Description and Analysis of the Closed Loop System; 14. Systems with Dead Time; 15. Parametric Analysis of Closed Loop Dynamics – Root Locus Diagrams; 16. Optimal Selection of Controller Parameters; 17. Bode and Nyquist Stability Criteria – Gain and Phase Margins; 18. Multiple-Input-Multiple-Output Systems; 19. Synthesis of Model-Based Feedback Controllers; 20. Cascade, Ratio and Feedforward Control; Appendix A; Appendix B.

Über Autor(innen)

Kookos, Ioannis K
Ioannis K. Kookos is Professor of Process Systems Engineering, in the Department Chemical Engineering at the University of Patras, Greece. He received his BSc in Chemical Engineering from the National Technical University of Athens, Greece and his MSc (1994) and PhD (2001) in Process Systems Engineering from Imperial College, London (Centre for PSE). He then worked as a lecturer at the University of Manchester, Department of Chemical Engineering.

Kravaris, Costas
Costas Kravaris is Professor of Chemical Engineering at Texas A&M University, USA. He has over 35 years of in teaching experience in process dynamics and control classes at both undergraduate and graduate level. He is an active researcher is nonlinear control, nonlinear state estimation and nonlinear model reduction, with applications to chemical processes.