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Process Control Modeling, Design and Simulation 2nd Edition By Wayne Bequette

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Pages: 292
File size: 8.84 MB
Format: Digital PDF
Course: Engineering
Category: eBook[PDF]

About this ebook

Process Control: Modeling, Design, and Simulation (2nd Edition) by B. Wayne Bequette is a comprehensive textbook widely used in chemical engineering courses. The second edition focuses on integrating current software tools, specifically MATLAB and SIMULINK, to teach core process dynamic behaviors, control problem formulations, and engineering design. [1, 2, 3]

The topics covered across the core chapters and accompanying MATLAB learning modules include: [1]

Core Chapters

Chapter 1: Introduction – Core concepts, process control objectives, and basic instrumentation.
Chapter 2: Fundamental Models – First-principles material and energy balance modeling, steady-state solution methods, and linearization.
Chapter 3: Dynamic Behavior – Analysis of linear systems using state-space models and transfer function-based models.
Chapter 4: Dynamic Behavior: Complex Systems – Expanding on more intricate system interactions and responses.
Chapter 5: Empirical and Discrete-Time Models – Developing models from experimental process data and introduction to digital/discrete control fundamentals.
Chapter 6: Introduction to Feedback Control – Classical loop structures, block diagrams, and proportional, integral, and derivative (PID) elements.
Chapter 7: Model-Based Control – Using process models directly within the control architecture (e.g., Internal Model Control).
Chapter 8: PID Controller Tuning – Methodologies for tuning PID controllers for performance and stability.
Chapter 9: Frequency-Response Analysis – Analyzing loop robustness, Bode/Nyquist criteria, and margins of stability.
Chapter 10: Cascade and Feedforward Control – Advanced classical strategies to counteract disturbances before they affect the main output.
Chapter 11: PID Enhancements – Modifications to traditional PID loops to improve performance, automatic tuning, and gain scheduling.
Chapter 12: Ratio, Selective, and Split-Range Control – Strategies for constraints, overriding controls, and handling multiple inputs/outputs.
Chapter 13: Control-Loop Interaction – How individual control loops affect each other in multivariable operations.
Chapter 14: Multivariable Control – Multi-input, multi-output (MIMO) systems and decoupling methods.
Chapter 15: Plantwide Control – Designing control architectures for full integrated chemical systems and individual unit operations.
Chapter 16: Model Predictive Control (MPC) – Introduction to industrial optimization-based control with discrete state-space formulations.
Chapter 17: Summary [1, 2, 3, 4, 5, 6]