Process Control : Modeling, Design, and Simulation
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- Motivating biomedical examples (closed-loop artificial pancreas)
- More examples of the importance of process control in satisfying safety
- Additional material on digital implementation of PID and IMC
- More content on model predictive control
Master Process Control Hands On, through Updated Practical Examples and MATLAB® Simulations
Process Control: Modeling, Design, and Simulation, Second Edition, is a complete introduction to process control and has been fully updated, integrating current software tools to enable professionals and students to master critical techniques hands on through simulations based on modern versions of MATLAB. This revised edition teaches the field''s most important techniques, behaviors, and control problems with even more practical examples and exercises. Wide-ranging enhancements include safety considerations, an expanded discussion of digital control, additional process examples, and updates throughout for newer versions of MATLAB and SIMULINK.
- Fundamentals of process control and instrumentation, including objectives, variables, block diagrams, and process flowsheets
- Methodologies for developing dynamic models of chemical processes, including compartmental models
- Dynamic behavior of linear systems: state-space models, transfer function-based models (including conversion to state space), and more
- Empirical and discrete-time models, including relationships among types of discrete models
- Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis
- Frequency response analysis techniques for evaluating the robustness of control systems
- Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhanced disturbance rejection
- Split-range, selective, and override strategies for switching among inputs or outputs
- Control loop interactions and multivariable controllers
- An introduction to model predictive control (MPC), with a new discrete state-space model derivation exercise
Bequette walks step by step through developing control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. This edition also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve many key control problems, including new modules on process monitoring and safety, as well as a detailed new study of artificial pancreas systems for Type 1 diabetes.
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