Offers instructors a range of modules' difficulty.
Provides students with an excellent set of virtual experiments.
Allows students to explore all aspects of process control.
Provides students with advance organizers to be completed before each lab to maximize and focus students' actual time at the computer.
Allows instructors to assign the modules as the basis of homework or for a course project.
Provides students and instructors with a single, self- contained source for lab work.
2110G-8
The MATLAB-based process control guide for all chemical engineering professionals
Process control specialists have been leaders in recognizing the remarkable problem-solving power of MATLAB and similar tools. With this book, chemical engineering professionals and students each have a comprehensive, MATLAB-based lab manual for process control. Together, the 13 MATLAB/Simulink Process Control Modules presented in this book deliver a thorough introduction to real-world process control, built around two critical chemical engineering operations: binary distillation columns and furnaces. Using realistic process simulation models (not low-order linear approximations), readers will master all these key concepts and techniques:
The models are sufficiently complex to expose users to all the complexities of real-world process data, including nonlinearity, high order dynamics, and noisy measurements. Modules are arranged to provide detailed objectives, before-and-after exercises that highlight key issues, detailed step-by-step procedures, and clear summaries. Process Control Modules can serve as an ideal self-paced study guide, an excellent companion to a formal process control course, and a perfect review and refresher for practicing process engineers.
CD-ROM INCLUDED
CD-ROM includes all MATLAB/Simulink files used throughout the book.
1. Introduction to the Process Control Modules.
2. Steady State Analysis.
3. First-order Dynamic System Analysis.
4. Second-order Dynamic System Analysis.
5. Frequency Domain Analysis.
6. Transient Response Analysis.
7. Steady State Feedback Control.
8. Controller Tuning.
9. Feedforward Control.
10. IMC and Multivariable Control.
11. Discrete Time System Modeling.
12. Discrete Control.
13. Model Predictive Control.
