Process Dynamics and Control
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...
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Design Control Systems Using Modern Technologies and Techniques Process control has increased in importance in the process industries, driven by global competition, rapidly changing economic conditions, more stringent environmental and safety regulations, and the need for more flexible yet more complex processes to manufacture high value-added products. This long-awaited second edition of Dale Seborg, Thomas Edgar, and Duncan Mellichamp’s PROCESS DYNAMIC AND CONTROL reflects recent changes and advances in process control theory and technology. The authors have added new topics, and enhanced the presentation with a large number of new exercises and examples, many of which utilize MATLAB and Simulink. New and expanded topics includes:Mathematical modeling of chemical processesDeveloping dynamic models from process dataControl system designProcess safety and process controlEnhanced single-loop controlDigital controlMultiloop and multivariable controlReal-time optimizationModel predictive controlProcess monitoringBatch process controlPlantwide controlApplications to semiconductor manufacturing and bioprocessingControl hardware and software
Pt. 1Introductory Concepts1Introduction to Process Control12Theoretical Models of Chemical Processes16Pt. 2Dynamic Behavior of Processes3Laplace Transforms514Transfer Function and State-Space Models785Dynamic Behavior of First-Order and Second-Order Processes1036Dynamic Response Characteristics of More Complicated Processes1297Development of Empirical Models from Process Data157Pt. 3Feedback and Feedforward Control8Feedback Controllers1859Control System Instrumentation20610Overview of Control System Design23211Dynamic Behavior and Stability of Closed-Loop Control Systems25912PID Controller Design, Tuning, and Troubleshooting29713Frequency Response Analysis33414Control System Design Based on Frequency Response Analysis36215Feedforward and Ratio Control388Pt. 4Advanced Process Control16Enhanced Single-Loop Control Strategies41117Digital Sampling, Filtering, and Control44118Multiloop and Multivariable Control47519Real-Time Optimization51020Model Predictive Control53421Process Monitoring56722Batch Process Control59123Introduction to Plantwide Control61824Plantwide Control System Design642App. ADigital Process Control Systems: Hardware and Software669App. BReview of Thermodynamic Concepts for Conservation Equations683App. CUse of MATLAB in Process Control686App. DContour Mapping and the Principle of the Argument693App. EDynamic Models and Parameters Used for Plantwide Control Chapters696
