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Understanding Process Dynamics and Control

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Part of Cambridge Series in Chemical Engineering

  • Date Published: April 2021
  • availability: Available
  • format: Hardback
  • isbn: 9781107035584

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About the Authors
  • 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.

    • Time domain (state-space) tools are developed in parallel with Laplace domain tools so that students better understand the concepts
    • The software tools MATLAB® and MAPLE are introduced to provide a better understanding of calculations, both numeric and symbolic
    • All mathematical proofs are presented in a step-by-step manner to guide the student towards a firm grasp of problem solving
    • Cases, worked examples and over 240 problems are included throughout the text
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    Reviews & endorsements

    'Provides a fresh perspective through the integrated coverage of modern state-space and traditional transfer function approaches. The mathematical derivations are detailed and accessible, aiding clear understanding of the basic as well as the more advanced topics.' Prodromos Daoutidis, University of Minnesota

    'Breaking new ground in the crowded field of process control textbooks, this book provides the foundation for teaching a modern undergraduate process control course in the twenty-first century. It is exceptionally well written and organized, and includes numerous examples, making it a must-have for all process control researchers, students and engineers.' Panagiotis D. Christofides, University of California, Los Angeles

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    Product details

    • Date Published: April 2021
    • format: Hardback
    • isbn: 9781107035584
    • length: 784 pages
    • dimensions: 252 x 195 x 39 mm
    • weight: 1.81kg
    • availability: Available
  • Table of Contents

    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.

  • Resources for

    Understanding Process Dynamics and Control

    Costas Kravaris, Ioannis K. Kookos

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  • Authors

    Costas Kravaris, Texas A & M University
    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.

    Ioannis K. Kookos, University of Patras, Greece
    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.

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