eBook EPUB PDF Process Control Modeling Design and Simulation 2nd Edition By Wayne Bequette
• ISBN-13: 978-0134033754
• ISBN-10: 0134033752
• ISBN: 978-0134033839
• ISBN: 978-0134033846
Designed primarily for chemic
...
eBook EPUB PDF Process Control Modeling Design and Simulation 2nd Edition By Wayne Bequette
• ISBN-13: 978-0134033754
• ISBN-10: 0134033752
• ISBN: 978-0134033839
• ISBN: 978-0134033846
Designed primarily for chemical and biological engineering undergraduates, this textbook acts as a bridge between the mathematical foundations of process control and interactive simulation-based design. True to its title, it is the only core process control textbook to fully weave fundamental theory alongside continuous, hands-on MATLAB and Simulink exercises.
The textbook aims to bypass dry, isolated math derivations. Instead, it systematically teaches how to map dynamic mathematical models of chemical processes, design automatic feedback control mechanisms, and evaluate the stability, robustness, and financial/safety boundaries of an operating plant.
🗂️ Core Topics & Layout
The curriculum maps process dynamics across foundational and multi-variable structures:
• Foundations & Modeling: Objectives of instrumentation and control variables, drafting block diagrams, developing fundamental dynamic models (including conservation balances and compartmental approximations).
• Linear System Dynamics: Transfer functions, state-space representations, converting models to state-space formats, and tracking complex empirical or discrete-time loops.
• Classic Feedback Loops: Proportional, Integral, and Derivative (PID) control optimization, controller tuning methods, closed-loop stability verification, and Frequency Response Analysis.
• Advanced Control Implementations: Internal Model Control (IMC), automatic tuning, gain scheduling, cascade loops, feedforward adjustments, split-range tactics, and selective override overrides.
• Multivariable Architecture & MPC: Managing control loop interactions, handling complex plant-wide interactions, and a comprehensive mathematical derivation introduction to Model Predictive Control (MPC).
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