Description
Wiley Process Dynamics and Control, An Indian Adaptation 4th Edition 2021 by Dale E. Seborg, Thomas F. Edgar, Duncan A. Mellichamp, and Francis J. Doyle III
This Indian adaptation of the fourth edition of the book, builds on the conceptual strength of the previous editions, with the focus on addition and reorganization of topics to make it a better-fit textbook for Indian Universities. It offers new and updated material on basic and advanced process control, particularly related to MATLAB® applications. Useful new key features are presentation of the entire text including solved examples and exercise problems in SI units and extensive use of MATLAB®/Simulink® to supplement standard hand-solved examples. About the AuthorDale E. Seborg is a Professor Emeritus and Research Professor in the Department of Chemical Engineering at the University of California, Santa Barbara.Dr. Seborg has published over 230 articles and coedited three books on process control and related topics. He has received the American Statistical Association’s Statistics in Chemistry Award, the American Automatic Control Council’s Education Award, and the ASEE Meriam-Wiley Award. Thomas F. Edgar holds the Abell Chair in chemical engineering at the University of Texas at Austin and is Director of the UT Energy Institute. His professional honors include the AIChE Colburn and Lewis Awards, ASEE Meriam-Wiley andChemical Engineering Division Awards, ISA and AACC Education Awards, AACC Bellman Control Heritage Award, and AIChE Computing in Chemical Engineering Award. Duncan A. Mellichamp is a founding faculty member of the Department of Chemical Engineering of the University of California, Santa Barbara. He is editor of an early book on data acquisition and control computing and has published more than 100 papers on process modeling, large scale/plantwide systems analysis, and computer control. Francis J. Doyle III is the Dean of the Harvard Paulson School of Engineering and Applied Sciences. He is also the John A. & Elizabeth S. Armstrong Professor of Engineering & Applied Sciences at Harvard University. Dr. Doyle held faculty appointments at Purdue University, the University of Delaware, and UCSB. He also held visiting positions at DuPont, Weyerhaeuser, and Stuttgart University. He is a Fellow of IEEE, IFAC, AAAS, and AIMBE. Preface to the Adapted Edition. Table of Contents : - pefacePart One: Introduction to Process ControlChapter 1 Introduction to Process Control1.1 Need for Control Systems1.2 Characteristics of Process Control Problems1.3 Designing Control Systems for a Process1.4 Classification of Process Control Strategies1.5 Multiloop Versus Multivariable Control1.6 Design Aspects of Control Systems Chapter 2 Theoretical Models of Chemical Processes2.1 Dynamic Process Models – Their Strengths and Limitations2.2 General Modeling Principles2.3 Degrees of Freedom Analysis2.4 Degrees of Freedom Analysis for Process Control2.5 Dynamic Models of Representative Processes2.6 Solving Differential Equations using MATLAB Part Two: Dynamic Behavior of ProcessesChapter 3 Laplace Transforms3.1 Laplace Transforms of Representative Functions3.2 Solution of Differential Equations by Laplace Transform Techniques3.3 Partial Fraction Expansion (PFE)3.4 Other Laplace Transform Properties3.5 A Transient Response Example3.6 Solving Laplace Transform Problems using MATLAB Chapter 4 Transfer Function and State-Space Models4.1 Introduction to Transfer Function Models4.2 Properties of Transfer Functions4.3 Linearization of Nonlinear Models4.4 State-Space and Transfer Function Matrix Models4.5 Poles and Zeros and Their Effect on Process Response4.6 Converting One Form of Model to Another using MATLAB Chapter 5 Dynamic Behavior of First-Order and Second-Order Processes5.1 Standard Process Inputs5.2 Zero-Order Systems (Instantaneous Processes)5.3 First-Order Processes and Their Characteristics5.4 Response of First-Order Processes5.5 Response of First-Order Integrating Processes5.6 First-Order Processes with Variable Time Constant and Gain5.7 First-Order Processes with Numerator Dynamics5.8 Second-Order Processes and Their Types5.9 Response of Second-Order Processes5.10 Second-Order Processes with Numerator Dynamics5.11 Determining Step Response Characteristics using MATLAB Chapter 6 Dynamic Behavior of Higher-Order Processes6.1 Processes with Time Delays6.2 Approximation of Higher-Order Transfer Functions6.3 Interacting and Noninteracting Processes6.4 Multiple-Input, Multiple-Output (MIMO) Processes6.5 Fitting First- and Second-Order Models Using Step Tests Part Three: Classical Feedback ControlChapter 7 Feedback Controllers7.1 Introduction7.2 Basic Control Modes7.3 Features of PID Controllers7.4 Digital Versions of PID Controllers7.5 Typical Responses of Feedback Control Systems7.6 On-Off Controllers7.7 SIMULINK Model for a Feedback Control System Chapter 8 Control System Instrumentation8.1 Sensors, Transmitters, and Transducers8.2 Final Control Elements8.3 Accuracy in Instrumentation8.4 Piping and Instrumentation Diagrams (P&ID) Chapter 9 Dynamic Behavior and Stability of Closed-Loop Control Systems9.1 Block Diagram Representation9.2 Closed-Loop Transfer Functions9.3 Closed-Loop Responses of Simple Control Systems9.4 Stability of Closed-Loop Control Systems9.5 Root Locus Diagrams9.6 Rules for Drawing Root Locus Diagram9.7 Generating Root Locus Diagram using MATLAB Chapter 10 Frequency Response Analysis and Control System Design10.1 Sinusoidal Forcing of A First-order Process10.2 Sinusoidal Forcing of an nth-Order Process10.3 Bode Diagrams10.4 Frequency Response Characteristics of Feedback Controllers10.5 Nyquist Diagrams10.6 Bode Stability Criterion10.7 Controller Design Based on Bode Stability Criterion10.8 Gain and Phase Margins Chapter 11 PID Controller Design, Tuning, and Troubleshooting11.1 Performance Criteria For Closed-Loop Systems11.2 Model-Based Design Methods11.3 Controller Tuning Relations11.4 Controllers With Two Degrees of Freedom11.5 Controller Tuning Based On Simple Performance Criterion (One-Quarter Decay Ratio)11.6 On-Line Controller Tuning11.7 Guidelines For Common Control Loops11.8 Troubleshooting Control Loops Part Four: Advanced Process ControlChapter 12 Enhanced Single-Loop Control Strategies12.1 Feedforward Control12.2 Ratio Control12.3 Cascade Control12.4 Time-Delay Compensation12.5 Inferential Control12.6 Selective Control Systems12.7 Nonlinear Control Systems12.8 Adaptive Control Systems Chapter 13 Digital Sampling, Filtering, and Control13.1 Components of Digital Computer Control Loop13.2 Continuous To Discrete Transformation13.3 Signal Processing and Data Filtering13.4 Discrete to Continuous Transformation13.5 z-Transform Analysis For Digital Control13.6 Tuning of Digital PID Controllers13.7 Direct Synthesis for Design of Digital Controllers13.8 Minimum Variance Control Chapter 14 Multiloop and Multivariable Control14.1 Process Interactions and Control Loop Interactions14.2 Pairing of Controlled and Manipulated Variables14.3 Singular Value Analysis14.4 Tuning of Multiloop PID Control Systems14.5 Decoupling and Multivariable Control Strategies14.6 Strategies for Reducing Control Loop Interactions Chapter 15 Model Predictive Control15.1 Overview of Model Predictive Control15.2 Predictions for SISO Models15.3 Predictions for MIMO Models15.4 Model Predictive Control Calculations15.5 Set-Point Calculations15.6 Selection of Design and Tuning Parameters15.7 Implementation of MPC Chapter 16 Development of Empirical Models from Process Data16.1 Model Development Using Linear or Nonlinear Regression16.2 Neural Network Models16.3 Development of Discrete-Time Dynamic Models16.4 Identifying Discrete-Time Models from Experimental Data Chapter 17 Process Monitoring17.1 Traditional Monitoring Techniques17.2 Quality Control Charts17.3 Extensions of Statistical Process Control17.4 Multivariate Statistical Techniques17.5 Control Performance Monitoring Chapter 18 Batch Process Control18.1 Batch Control Systems18.2 Sequential and Logic Control18.3 Control During the Batch18.4 Run-to-Run Control18.5 Batch Production Management Chapter 19 Digital Process Control Systems: Hardware and Software19.1 Distributed Digital Control Systems19.2 Analog and Digital Signals and Data Transfer19.3 Microprocessors and Digital Hardware in Process Control19.4 Software Organization SummaryReferencesExercisesMultiple Choice QuestionsAnswer Key Appendix A: Review of Thermodynamic Concepts for Conservation EquationsA.1 Single-Component SystemsA.2 Multicomponent Systems Appendix B: Control Simulation SoftwareB.1 MATLAB Operations and Equation SolvingB.1.1 Matrix OperationsB.1.2 Solution of Algebraic Linear or Nonlinear EquationsB.1.3 m-filesB.1.4 Functions and ScriptsB.1.5 Solving a System of Differential EquationsB.1.6 PlotsB.1.7 MATLAB ToolboxesB.2 Computer Simulation with SimulinkB.3 Computer Simulation with LabVIEW Appendix C: Process Control ModulesC.1 IntroductionC.2 Module OrganizationC.3 Hardware and Software RequirementsC.4 InstallationC.5 Running the Software Appendix D: Review of Basic Concepts From Probability and StatisticsD.1 Probability ConceptsD.2 Means and VariancesD.2.1 Means and Variances for Probability DistributionsD.2.2 Means and Variances for Experimental DataD.3 Standard Normal DistributionD.4 Error Analysis Appendix E: Process Safety and Process ControlE.1 Layers of ProtectionE.1.1 The Role of the Basic Process Control SystemE.1.2 Process AlarmsE.1.3 Safety Instrumented System (SIS)E.1.4 Interlocks and Emergency Shutdown SystemsE.2 Alarm ManagementE.2.1 Alarm GuidelinesE.2.2 Alarm RationalizationE.3 Abnormal Event DetectionE.3.1 Fault Detection Based on Sensor and Signal AnalysisE.3.2 Model-Based MethodsE.3.3 Knowledge-Based MethodsE.4 Risk AssessmentE.4.1 Reliability ConceptsE.4.2 Overall Failure RatesE.4.3 Fault and Event Tree Analysis Appendix F: Real-Time OptimizationF.1 Basic Requirements in Real-Time OptimizationF.1.1 Implementation of RTO in Computer ControlF.1.2 Planning and SchedulingF.2 The Formulation and Solution of RTO ProblemsF.3 Unconstrained and Constrained OptimizationF.3.1 Single-Variable OptimizationF.3.2 Multivariable OptimizationF.4 Linear ProgrammingF.4.1 Linear Programming ConceptsF.5 Quadratic and Nonlinear ProgrammingF.5.1 Quadratic ProgrammingF.5.2 Nonlinear Programming Algorithms and Software Appendix G: Biosystems Control DesignG.1 Process Modeling and Control in Pharmaceutical OperationsG.1.1 BioreactorsG.1.2 CrystallizersG.1.3 GranulationG.2 Process Modeling and Control for Drug DeliveryG.2.1 Type 1 DiabetesG.2.2 Blood Pressure RegulationG.2.3 Cancer TreatmentG.2.4 Controlled Treatment for HIV/AIDSG.2.5 Cardiac-Assist DevicesG.2.6 Additional Medical Opportunities for Process Control Appendix H: Dynamics and Control of Biological SystemsH.1 Systems BiologyH.2 Gene Regulatory ControlH.2.1 Circadian Clock NetworkH.3 Signal Transduction NetworksH.3.1 ChemotaxisH.3.2 Insulin-Mediated Glucose UptakeH.3.3 Simple Phosphorylation Transduction Cascade Appendix I*: Introduction to Plantwide ControlAppendix J*: Plantwide Control System DesignAppendix K*: Dynamic Models and Parameters Used for Plantwide Control ChaptersAppendix L*: Additional Closed-Loop Frequency Response MaterialAppendix M*: Contour Mapping and the Principle of the ArgumentAppendix N*: Partial Fraction Expansions for Repeated and Complex FactorsIndex