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Process Dynamics and Control

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ISBN-10: 0470128674

ISBN-13: 9780470128671

Edition: 3rd 2011

Authors: Thomas F. Edgar, Duncan A. Mellichamp, Dale E. Seborg, Francis J. Doyle

List price: $242.95
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This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field.
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Book details

List price: $242.95
Edition: 3rd
Copyright year: 2011
Publisher: John Wiley & Sons, Incorporated
Publication date: 4/13/2010
Binding: Hardcover
Pages: 528
Size: 8.50" wide x 11.00" long x 0.75" tall
Weight: 2.596
Language: English

Introduction To Process Control
Introduction to Process Control
Representative Process Control Problems
Illustrative Example
Classification of Process Control Strategies
A More Complicated Example--A Distillation Column
The Hierarchy of Process Control Activities
An Overview of Control System Design
Theoretical Models of Chemical Processes
The Rationale for Process Modeling
General Modeling Principles
Degrees of Freedom Analysis
Dynamic Models of Representative Processes
Solution of Dynamic Models and the Use of Digital Simulators
Dynamic Behavior Of Processes
Laplace Transforms
The Laplace Transform of Representative Functions
Solution of Differential Equations by Laplace Transform Techniques
Partial Fraction Expansion
Other Laplace Transform Properties
A Transient Response Example
Transfer Function and State-Space Models
Illustrative Example: A Continuous Blending System
Transfer Functions of Complicated Models
Properties of Transfer Functions
Linearization of Nonlinear Models
Dynamic Behavior of First-Order and Second-Order Processes
Standard Process Inputs
Response of First-Order Processes
Response of Integrating Processes
Response of Second-Order Processes
Dynamic Response Characteristics of More Complicated Processes
Poles and Zeros and Their Effect on Process Response
Processes with Time Delays
Approximation of Higher-Order Transfer Functions
Interacting and Noninteracting Processes
State-Space and Transfer Function Matrix Models
Multiple-Input, Multiple-Output (MIMO) Processes
Development of Empirical Dynamic Models from Process Data
Model Development Using Linear or Nonlinear Regression
Methods for Fitting First-Order and Second-Order Models Using Step Tests
Neural Network Models. Development of Discrete-Time Dynamic Models. Identifying Discrete-Time Models from Experimental Data
Control System Design Analysis
Feedback Controllers
Basic Control Modes
Features of PID Controllers
On-Off Controllers
Typical Responses of Feedback Control Systems
Digital Versions of PID Controllers
Control System Instrumentation
Sensors, Transmitters, and Transducers
Final Control Elements
Signal Transmission and Digital Communication
Accuracy in Instrumentation
Process Safety and Process Control
Layers of Protection
Alarm Management
Abnormal Event Detection
Risk Assessment
Dynamic Behavior and Stability of Closed-Loop Control Systems
Block Diagram Representation
Closed-Loop Transfer Functions
Closed Loop Responses of Simple Control Systems
Stability Criteria
Pole-Zero Diagrams
PID Controller Design, Tuning, and Troubleshooting
The Influence of Process Design on Process Control
Model-Based Design Methods
Controller Tuning Relations
On-Line Controller Tuning
Guidelines for Common Control Loops
Troubleshooting Control Loops
Control at the Process Unit Level
Degrees of Freedom for Process Control
Selection of Controlled, Manipulated, and Measured Variables
Case Studies
Frequency Response Analysis and Control System Design
Sinusoidal Forcing of a First-Order Process
Sinusoidal Forcing of an nth-Order Process
Bode Diagrams
Frequency Response Characteristics of Feedback Controllers
Bode Stability Criterion
Gain and Phase Margins
Feedforward and Ratio Control
Introduction to Feedforward Control
Ratio Control
Feedforward Controller Design Based on Steady-State Models
Controller Design Based on Dynamic Models
The Relationship Between the Steady-State and Dynamic Design Methods
Configurations for Feedforward-Feedback Control
Tuning Feedforward Controllers
Advanced Process Control
Enhanced Single-Loop Control Strategies
Cascade Control
Time-Delay Compensation
Inferential Control
Selective Control/Override Systems
Nonlinear Control Systems
Adaptive Control Systems
Digital Sampling, Filtering, and Control
Sampling and Signal Reconstruction
Signal Processing and Data Filtering
z-Transform Analysis for Digital Control
Digital PID and Related Controllers
Direct Synthesis for Design of Digital Controllers
Minimum Variance Control
Multiloop and Multivariable Control
Process Interactions and Control Loop Interactions
Pairing of Controlled and Manipulated Variables
Singular Value Analysis
Tuning of Multiloop PID Control Systems
Decoupling and Multivariable Control Strategies
Strategies for Reducing Control Loop Interactions
Real-Time Optimization
Basic Requirements in Real-Time Optimization
The Formulation and Solution of RTO Problems
Unconstrained Optimization
Linear Programming
Quadratic Programming/Nonlinear Programming
Model Predictive Control
Overview of Model Predictive Control
Predictions for SISO Models
Predictions for MIMO Models
Model Predictive Control Calculations
Set-Point Calculations
Selection of Design and Tuning Parameters
Implementation of MPC
Process Monitoring
Traditional Monitoring Techniques
Quality Control Charts
Extensions of Statistical Process Control
Multivariate Statistical Techniques
Control Performance Monitoring
Batch Process Control
Batch Control Systems
Sequential and Logic Control
During the Batch Control
Applications To Biological Systems
Biosystems Control Design
Dynamics and Control of Biological Systems
Digital Process Control Systems: Hardware and Software
Review of Thermodynamics Concepts for Conservation Equations
Control Simulation Software
Instrumentation Symbols
Process Control Modules
Review of Basic Concepts from Probability and Statistics