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Book

Process Dynamics and Control

TL;DR: This book discusses the development of Empirical Models from Process Data, Dynamic Behavior of First-Order and Second-Order Processes, and Dynamic Response Characteristics of More Complicated Processes.
Abstract: PART ONE: INTRODUCTORY CONCEPTS.1. Introduction to Process Control.2. Theoretical Models of Chemical Processes.PART TWO: DYNAMIC BEHAVIOR OF PROCESSES.3. Laplace Transforms.4. Transfer Function and State-Space Models.5. Dynamic Behavior of First-Order and Second-Order Processes.6. Dynamic Response Characteristics of More Complicated Processes.7. Development of Empirical Models from Process Data.PART THREE: FEEDBACK AND FEEDFORWARD CONTROL.8. Feedback Controllers.9. Control System Instrumentation.10. Overview of Control System Design.11. Dynamic Behavior and Stability of Closed-Loop Control Systems.12. PID Controller Design, Tuning, and Troubleshooting.13. Frequency Response Analysis.14. Control System Design Based on Frequency Response Analysis.15. Feedforward and Radio Control.PART FOUR: ADVANCED PROCESS CONTROL.16. Enhanced Single-Loop Control Strategies.17. Digital Sampling, Filtering, and Control.18. Multiloop and Multivariable Control.19. Real-Time Optimization.20. Model Predictive Control.21. Process Monitoring.22. Batch Process Control.23. Introduction to Plantwide Control.24. Plantwide Control System Design .Appendix A: Digital Process Control Systems: Hardware and Software.Appendix B: Review of Thermodynamics Concepts for Conservation Equations.Appendix C: Use of MATLAB in Process Control.Appendix D: Contour Mapping and the Principle of the Argument.Appendix E: Dynamic Models and Parameters Used for Plantwide Control Chapters.
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Book
21 Apr 2008
TL;DR: Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems.
Abstract: This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl strm and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. strm and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. They provide exercises at the end of every chapter, and an accompanying electronic solutions manual is available. Feedback Systems is a complete one-volume resource for students and researchers in mathematics, engineering, and the sciences.Covers the mathematics needed to model, analyze, and design feedback systems Serves as an introductory textbook for students and a self-contained resource for researchers Includes exercises at the end of every chapter Features an electronic solutions manual Offers techniques applicable across a range of disciplines

1,927 citations

Journal ArticleDOI
TL;DR: In this article, the authors present analytic rules for PID controller tuning that are simple and still result in good closed-loop behavior, including the half-rule for obtaining the effective time delay.

1,681 citations


Cites background or methods from "Process Dynamics and Control"

  • ...[ 12 ] p. 118) gives that the corresponding period is...

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  • ...For processes with � 148� , for which we use � I=� 1 (left column), the system always has a gain margin GM=3.14 and phase margin PM=61.4� , which is much better than than the typical minimum requirements GM > 1.7 and PM > 30� [ 12 ]....

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Book
01 Jan 2003
TL;DR: In this paper, the authors present Controller Architecture Tuning Rules for PI Controllers Tuning rules for PID Controllers Performance and Robustness Issues Glossary of Symbols Used in the Book Some Further Details on Process Modeling
Abstract: Introduction Controller Architecture Tuning Rules for PI Controllers Tuning Rules for PID Controllers Performance and Robustness Issues Glossary of Symbols Used in the Book Some Further Details on Process Modeling.

1,399 citations

Journal ArticleDOI
TL;DR: A classification of a number of decentralized, distributed and hierarchical control architectures for large scale systems is proposed and attention is focused on the design approaches based on Model Predictive Control.

1,234 citations


Additional excerpts

  • ...[6,81,97]....

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Journal ArticleDOI
TL;DR: Insight into the properties of PI and PID control and simple tuning rules that give robust performance for processes with essentially monotone step responses are found.

842 citations


Additional excerpts

  • ...[7–16]....

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