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 ...Read MoreDesign 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 processes; developing dynamic models from process data; control system design; process safety and process control; enhanced single loop control; digital control; multiloop and multivariable control; real time optimization; model predictive control; process monitoring; batch process control; plantwide control; applications to semiconductor manufacturing and bioprocessing; and control hardware and software.Read Less
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New. 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. Special Features Illustrates key theoretical concepts using numerous examples and simulations Integrates new exercises throughout several chapters Offers up-to-date information on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice Includes two new chapters on bio systems control to present the latest perspective in the field Adds new coauthor Frank Doyle to help reflect the evolving field of chemical and biological engineeringTABLE OF CONTENTS Part 1 Introduction to Process Control Introduction to Process Control Theoretical Models of Chemical Processes Part 2 Dynamic Behavior of Processes Transfer Function Models Dynamic Behavior of First-Order and Second-Order Processes Dynamic Response Characteristics of More Complicated Processes Development of Empirical Models from Process Data Part 3 Feedback and Feed Forward Control Feedback Controllers Control System Instrumentation Process Safety and Process Control Dynamic Behavior and Stability of Closed-Loop Control Systems PID Controller Design, Tuning, and Troubleshooting Control Strategies at the Process Unit Level Frequency Response Analysis and Control System Design Feed Forward and Ratio Control Part 4 Advanced Process Control Enhanced Single-Loop Control Strategies Multiloop and Multivariable Control Digital Sampling, Filtering and Control Batch Process Control Real-Time Optimization Model Predictive Control Process Monitoring Part 5 Applications to Biological Systems Bio systems Control Design Dynamics and Control of Biological Systems Appendix Appendix A: Laplace Transforms A-1 Appendix B: Digital Process Control Systems: Hardware and Software A-21 Appendix C: Review of Thermodynamic Concepts for Conservation Equations A-34 Appendix D: Control Simulation Software A-36 Appendix E: Process Control Modules A-43 Appendix F: Introduction to Plant wide Control A-45 Appendix G: Plant wide Control System Design A-63 Appendix H: Dynamic Models and Parameters Used for Plant wide Control Chapters A-82 Appendix I: Instrumentation Symbols A-88 Appendix J: Review of Basic Concepts from Probability and Statistics A-90 Appendix K: Contour Mapping and the Principle of the Argument A-93 Printed Pages: 464..
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