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Process dynamics, modeling, and control

Author: Babatunde A Ogunnaike; W Harmon Ray
Publisher: New York, NY : Oxford University Press, 1994.
Series: Topics in chemical engineering (Oxford University Press)
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Synopsis: This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical  Read more...
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Genre/Form: Problemas, ejercicios, etc
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Babatunde A Ogunnaike; W Harmon Ray
ISBN: 0195091191 9780195091199
OCLC Number: 31130960
Description: xx, 1260 pages : illustrations ; 26 cm.
Contents: Part 1: Introduction --
Chapter 1: Introductory concepts of process control --
Chemical process --
Industrial perspective of a typical process control problem --
Variables of a process --
Overview of control system design --
Summary --
Chapter 2: Introduction to control system implementation --
Introduction --
Historical overview --
Basic digital computer architecture --
Data acquisition and control --
Some examples --
Summary --
Part 2: Process Dynamics --
Chapter 3: Basic elements of dynamic analysis --
Introduction --
Tools of dynamic analysis --
Laplace transform --
Characteristics of ideal forcing functions --
Summary --
Chapter 4: Process model --
Mathematical description of chemical processes --
Formulating process models --
State-space models --
Transform-domain models --
Frequency-response models --
Impulse-response models --
Interrelationships between process model forms --
Concept of a transfer function --
Summary --
Chapter 5: Dynamic behavior of linear low order-systems --
First order systems --
Response of first-order systems to various inputs --
Pure gain systems --
Pure capacity systems --
Lead/lag system --
Summary --
Chapter 6: Dynamic behavior of linear higher order systems --
Two first-order systems in series --
Second-order systems --
Response of second-order systems to various inputs --
N first-order systems in series --
General Nth-order system --
Higher order systems with zeros --
Summary --
Chapter 7: Inverse-response systems --
Introduction --
Inverse response in physical processes --
Dynamic behavior of systems with single, right-half plane zeros --
Dynamic behavior of system with multiple, right-half plane zeros --
Summary --
Chapter 8: Time-delay systems --
Introductory example --
Pure time-delay process --
Dynamic behavior of systems with time delays --
Steam-heated exchanger --
Rational transfer function approximations --
Model equations for systems containing time delays --
Summary --
Chapter 9: Frequency-response analysis --
Introduction --
General treatment --
Low-order systems --
Higher order systems --
Frequency response of feedback controllers --
Summary --
Chapter 10: Nonlinear systems --
Introduction: linear and nonlinear behavior in process dynamics --
Some nonlinear models --
Methods of dynamic analysis of nonlinear systems --
Linearization --
Summary --
Chapter 11: Stability --
Introductory concepts stability --
Stability of linear systems --
Stability of nonlinear systems --
Dynamic behavior of open-loop unstable systems --
Stability of dynamic systems under feedback control --
Summary --
Part 3: Process Modeling And Identification --
Chapter 12: Theoretical process modeling --
Introduction --
Development of theoretical process models --
Examples of theoretical model formulation --
Parameter estimation in theoretical models --
Validation of theoretical models --
Summary --
Chapter 13: Process identification: empirical process modeling --
Introduction and motivation --
Principles of empirical modeling --
Step-response identification --
Impulse-response identification --
Frequency-response identification --
Issues for multivariable systems --
Summary --
Part 4: Process Control --
Part 4A: Single-loop control --
Chapter 14: Feedback control systems --
Concept of feedback control --
Block diagram development --
Classical feedback controllers --
Closed-loop transfer functions --
Closed-loop transient response --
Closed-loop stability --
Root locus diagram --
Summary --
Chapter 15: Conventional feedback controller design --
Preliminary considerations --
Controller design principles --
Controller tuning with fundamental process models --
Controller tuning using approximate process models --
Controller tuning using frequency-response models --
Controller tuning without a model --
Summary. Chapter 16: Design of more complex control structures --
Processes with significant disturbances --
Processes with multiple outputs controlled by a single input --
Processes with a single output controlled by multiple inputs --
Antireset windup --
Summary --
Chapter 17: Controller design for processes with difficult dynamics --
Difficult process dynamics ---
Time-delay systems --
Inverse-response systems --
Open-loop unstable systems --
Summary --
Chapter 18: Controller design for nonlinear systems --
Nonlinear controller design philosophies --
Linearization and the classical approach --
Adaptive control principles --
Variable transformations --
Summary --
Chapter 19: Model-based control --
Introduction --
Controller design by direct synthesis --
Internal model control --Generic model control --
Optimization approaches --
Summary --
Part 4B: Multivariable Process Control --
Chapter 20: Introduction to multivariable systems --
Nature of multivariable systems --
Multivariable process models --
Open-loop dynamic analysis in state space --
Multivariable transfer functions and open-loop dynamic analysis --
Close-loop dynamic analysis --
Summary --
Chapter 21: Interaction analysis and multiple single loop designs --
Introduction --
Preliminary considerations of interaction analysis and loop pairing --
Relative gain array (RGA) --
Loop pairing using the RGA --
Loop pairing for nonlinear systems --
Loop pairing for systems with pure integrator modes --
Loop pairing for nonsquare systems --
Final comments on loop pairing and the RGA --
Controller design procedure --
Summary --
Chapter 22: Design of multivariable controllers --
Introduction --
Decoupling --
Feasibility of steady-state decoupler design --
Steady-state decoupling by singular value decomposition --
Other model-based controllers for multivariable processes --
Summary --
Part 4C: Computer Process Control --
Chapter 23: Introduction to sampled-data systems --
Introduction and motivation --
Sampling and conditioning of continuous signals --
Continuous signal reconstruction --
Mathematical description of discrete-time systems --
Theoretical modeling of discrete-time systems --
Empirical modeling of discrete-time systems --
Summary --
Chapter 24: Tools of discrete-time systems analysis --
Introduction --
Basic concepts of z-transforms --
Inverting z-transforms --
Pulse transfer functions --
Summary --
Chapter 25: Dynamic analysis of discrete-time systems --
Open loop responses --
Characteristics of open-loop pulse transfer functions --
Block diagram analysis for sampled-date systems --
Stability --
Summary --
Chapter 26: Design of digital controllers --
Preliminary considerations --
Digital controller and its design --
Discrete PID controllers from the continuous domain --
Other digital controllers based on continuous domain strategies --
Digital controllers based on discrete domain strategies --
Digital multivariable controllers --
Summary --
Part 5: Special Control Topics --
Chapter 27: Model predictive control --
Introduction --
General principles of model Control --
Dynamic matrix control --
Model algorithmic control (MAC) --
Commercial model predictive control schemes: a qualitative review --
Academic and other contributions --
Nonlinear model predictive control --
Closing remarks --
Summary --
Chapter 28: Statistical process control --
Introduction --
Traditional quality control methods --
Serial correlation effects and standard process control --
When is traditional SPC appropriate? --
Stochastic process control --
More advanced multivariate techniques --
Summary --
Chapter 29: Selected topics in advanced process control --
Control in the absence of good on-line measurements state estimation --
Control in the face of process variability and plant/model mismatch-robust controller design --
Control of spatial profiles-distributed parameter controllers --
Control in a changing economic environment-on-line optimization --
Control in the face of component failure-abnormality detection, alarm interpretation, and crisis management --
Some emerging technologies for advanced process control --
Concluding remarks --
Chapter 30: Process control system synthesis-some case studies --
Control of distillation columns --
Control of catalytic packed bed reactors --
Control of a solution polymerization process --
Control of an industrial terpolymerization reactor --
Guidelines for characterizing process control problems --
Summary --
Part 6: Appendices --
Appendix A: Control systems symbols used in process and instrumentation diagrams --
Appendix B: Complex variables, differential equations, and difference equations --
Appendix C: Laplace and z-transforms --
Appendix D: Review of matrix algebra --
Appendix E: Computer-aided control system design --
Author index --
Subject index.
Series Title: Topics in chemical engineering (Oxford University Press)
Responsibility: Babatunde A. Ogunnaike, W. Harmon Ray.
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A very current and comprehensive textbook for the standard undergraduate chemical engineering course in process dynamics and control. Unique topics include a unified approach to model  Read more...

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