Lectures (Video)
- 1. Learning in an electronic classroom
- 2. Wiki basics
- 3. Verbal modeling
- 4. Incidence graphs
- 5. Excel modeling (part 1)
- 6. Excel modeling (part 2)
- 7. Modeling ODEs with Excel and Mathematica
- 8. Surge tanks, valves, and sensors: Part I
- 9. Surge tanks, valves, and sensors: Part II
- 10. Piping & Instrumentation Diagrams
- 11. Control Programming
- 12. PID Control I
- 13. PID Control II
- 14. Stability Analysis I: Fixed points and Jacobians
- 15. Stability Analysis II: Eigenvalues and stability
- 16. Stability Analysis III: Phase Portraits
- 17. Stability Analysis IV: Root Locus Plots and Routh Stability
- 18. Control Architectures
- 19. MIMO I:Numerical Decoupling
- 20. MIMO II: Model Predictive Control
- 21. Statistical Intro: Control Charts
- 22. Comparing Distributions I: DMAC and Fishers Exact
- 23. Comparing Distributions II: Bayes Rule and Acceptance Sampling
- 24. Comparing Distributions III: Chi squared and ANOVA
- 25. Design of Experiments: Taguchi Methods
- 26. Bayesian Networks I: Static Networks and Multinomial Distributions
- 27. Bayesian Networks II: Dynamic Networks and Markov Chains
Process Dynamics and Controls
Course Summary
This course is based on CHE 466 - Process Dynamics and Controls, Fall 2008 made available by University of Michigan under the Creative Commons Attribution 3.0 license.
As practicing chemical engineers, students will be faced with the task of doing things reliably in an uncertain world and with imperfect understanding. This course will cover a variety of approaches to reduce or manage this uncertainty through the use of robust designs, dynamic systems theory, nonlinear dynamics, control theory, and statistics.
At the conclusion of this course students should be able to: Describe a process, how it works, and what your control objectives are; Instrument a process; Describe processes with appropriate diagrams; Numerically model a process from physical and logical models; Fit a model to data; Understand feed-forward, feed-back, and PID control of systems; Tune process controllers; Understand the principles behind multi-objective control architectures; Predict product quality range for a process; Identify sensitivities in process models. (An open textbook Chemical Engineering Process Dynamics and Controls is available online.)
This project is a collaboration between the faculty and students of the University of Michigan chemical engineering department. The goal of this project is to provide the greater chemical engineering community with a useful, relevant, high quality, and free resource describing chemical process control and modeling. Initial construction of this resource began in Fall 2006, and will continue in future years with other groups of students.
Reading Material
1. University of Michigan Chemical Engineering Process Dynamics and Controls Open TextbookThis electronic textbook is a student-contributed open-source text covering the materials used in this course.
Course Material
Not available.Other Resources
1. Introduction to process controlJosé Alberto Romagnoli, Ahmet Palazoglu, Introduction to process control, CRC Press, 2006, ISBN 9780849334962
(Click the button below to see a preview of the book)
2. Process control: modeling, design, and simulation
B. Wayne Bequette, Process control: modeling, design, and simulation, Prentice Hall PTR, 2003, ISBN 9780133536409
(Click the button below to see a preview of the book)
Software
Not available.Discussion Forum
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