CHEE 3367 (Required) Process Modeling and Control (Required) http://blackboard.egr.uh.edu Spring 2011 CATALOG DATA CHEE 3367: Process Modeling and Control Cr. 3. (3-0). Prerequisites: CHEE 3334, CHEE 3321, CHEE 3363 or ENGI 3363 and PHYS 1322. Modeling techniques of chemical engineering problems with emphasis on process control. INSTRUCTOR Prof. Michael Nikolaou OFFICE HOURS Open-door policy. Questions via email are strongly encouraged, and will be answered ASAP. Face-to-face meetings can be readily arranged by appointment. REQUIRED Stephanopoulos, G., Chemical Process Control - An Introduction to TEXTBOOK RECOMMENDED TEXTBOOKS Theory and Practice, Prentice-Hall, 1984. 1. D. E. Seborg, T. F. Edgar, and D. A. Mellichamp, Process Dynamics and Control, Wiley and Sons, 1989. 2. Marlin, T. E., Process Control - Designing Processes and Control Systems for Dynamic Performance, McGraw-Hill, 1995. 3. C. A. Smith and A. B. Corripio, Principles and Practices of Automatic Process Control, 3rd Edition, Wiley, 2006. 4. J. A. Romagnoli and A. Palazoglu, Introduction to Process Control, CRC/Taylor and Francis, 2005. 5. Ogunnaike, B. A., And W. H. Ray, Process Dynamics, Modeling, and Control, Oxford, 1994. 6. Bequette, B. W., Process Control: Modeling, Design and Simulation, Prentice-Hall, 2003. SUPPLEMENTARY MATERIAL PREREQUISITES BY TOPIC Notes from the instructor and bibliographical references will be posted on Blackboard (http://blackboard.egr.uh.edu) as necessary. 1. Engineering problem solving in interactive computing environments (e.g., spreadsheets, Matlab, Mathematica)
2. Programming using procedural languages (e.g., Fortran, Matlab, Mathematica) 3. Matrix algebra 4. Elementary complex algebra 5. Differential and integral calculus, and differential equations 6. Basic transport phenomena 7. Basic thermodynamics 8. Basic statistics STUDENT OUTCOMES 1. Demonstrate understanding of the scientific and engineering fundamentals (goals, capabilities, limitations) as well as practical issues (technologies, heuristics, equipment, cost) related to automatic control techniques widely used in process industries [a, e].1 2. Demonstrate ability to identify and solve a variety of process control problems in traditional and emerging chemical engineering fields [e, c, j, k]. 3. Demonstrate ability to use existing software packages (e.g. Matlab/Simulink and Toolboxes, Mathematica, Excel) or customized code in modeling, simulation, and controller design problems [e, k]. 4. Demonstrate ability to present the input and output of a computer-assisted project in a comprehensive, comprehensible, editable, and interpretable way [g]; 5. Demonstrate knowledge of bibliographical and Internet resources related to process control and automation [h, i, j].
6. Demonstrate understanding of the interdisciplinary nature, history, technological and economic impact, societal effects, and future directions of process control and automation [h, i, j]. 7. Demonstrate ability to identify the hardware and software of an experimental feedback control loop; collect experimental data to develop a mathematical process model; design a controller based on the model; and test the efficacy of the controller both via computer simulations and experimentally [b]. STUDENT EVALUATION Lectures % of Grade Laboratory % of Grade Exam 1 30% Report 10% Exam 2 30% Final 30% Exam Total 90%
CHEE 3367 (Process Modeling and Control) - Course Calendar and Lectures Topics Monday Tuesday Wednesday Thursday Friday Saturday Sunday 17-Jan-2011 MLK Day 18-Jan-2011 19-Jan-2011 Lect. 1 20-Jan-2011 21-Jan-2011 22-Jan-2011 23-Jan-2011 24-Jan-2011 Lect. 2 25-Jan-2011 26-Jan-2011 Lect. 3 27-Jan-2011 28-Jan-2011 29-Jan-2011 30-Jan-2011 31-Jan-2011 Lect. 4 1-Feb-2011 2-Feb-2011 Lect. 5 3-Feb-2011 4-Feb-2011 5-Feb-2011 6-Feb-2011 7-Feb-2011 Lect. 6 8-Feb-2011 9-Feb-2011 Lect. 7 10-Feb-2011 11-Feb-2011 12-Feb-2011 13-Feb-2011 14-Feb-2011 Lect. 8 15-Feb-2011 16-Feb-2011 Lect. 9 17-Feb-2011 18-Feb-2011 19-Feb-2011 20-Feb-2011 21-Feb-2011 Lect. 10 22-Feb-2011 23-Feb-2011 Lect. 11 24-Feb-2011 25-Feb-2011 26-Feb-2011 27-Feb-2011 28-Feb-2011 Lect. 12 1-Mar-2011 2-Mar-2011 Review for Exam 1 3-Mar-2011 4-Mar-2011 5-Mar-2011Exam 1 (10am-1pm tentatively) 6-Mar-2011 7-Mar-2011 Lect. 13 8-Mar-2011 9-Mar-2011 Lect. 14 10-Mar-2011 11-Mar-2011 12-Mar-2011 13-Mar-2011 14-Mar-2011 Spring 15-Mar-2011 16-Mar-2011 Spring Break 17-Mar-2011 18-Mar-2011 19-Mar-2011 20-Mar-2011 Break 21-Mar-2011 Lect. 15 22-Mar-2011 23-Mar-2011 Lect. 16 24-Mar-2011 25-Mar-2011 26-Mar-2011 27-Mar-2011 28-Mar-2011 Lect. 17 29-Mar-2011 30-Mar-2011 Lect. 18 31-Mar-2011 1-Apr-2011 2 -Apr-2011 3-Apr-2011 4-Apr-2011 Lect. 19 5-Apr-2011 6-Apr-2011 Lect. 20 7-Apr-2011 8-Apr-2011 9-Apr-2011 10-Apr-2011 11-Apr-2011 Lect. 20 12-Apr-2011 13-Apr-2011 Review for Exam 2 14-Apr-2011 15-Apr-2011 16-Apr-2011Exam 2 (10am-1pm tentatively) 17-Apr-2011 18-Apr-2011 Lect. 21 19-Apr-2011 20-Apr-2011 Lect. 23 21-Apr-2011 22-Apr-2011 23-Apr-2011 24-Apr-2011 25-Apr-2011 Lect. 24 26-Apr-2011 27-Apr-2011 Laboratory 28-Apr-2011 29-Apr-2011 30-Apr-2011 1-May-2011 2-May-2011 Last day of classes Laboratory 3-May-2011 4-May-2011 5-May-2011 6-May-2011 7-May-2011 8-May-2011 9-May-2011 Final Exam, 2-5 pm 10-May- 2011 11-May-2011 nday Wednesday Saturday 12-May-2011 Lecture # Topics (Numbers refer to chapters in Stephanopoulos' Chemical Process Material Homework - 3 -
Control. Items not numbered are covered in lecture notes.) for Exam Lecture 1 Introduction 1. Incentives for Chemical Process Control 1 Lecture 2 2. Design Aspects of a Process Control System HW 1 3. Hardware for a Process Control System Lecture 3 4. Development of a Mathematical Model Lecture 4 5. Modeling Considerations for Control Purposes HW 2 Lecture 5 Continuous-time and discrete-time models 6. Computer Simulation and the Linearization of Nonlinear Systems 7. Laplace Transforms Lecture 6 8. Solution of Linear Differential Equations Using Laplace Transforms HW 3 Lecture 7 9. Transfer Functions and Input-Output Models 10. Dynamic Behavior of First-Order Systems Lecture 8 11. Dynamic Behavior of Second-Order Systems Material HW 4 Lecture 9 12. Dynamic Behavior of Higher-Order Systems 13. Introduction to Feedback Control 14. Dynamic Behavior of Feedback Controlled Processes for Exam 2 Lecture 10 15. Stability Analysis of Feedback Systems HW 5 Lecture 11 16. Design of Feedback Controllers Lecture 12 16. Design of Feedback Controllers Lecture 13 Internal Model Control (IMC) Design of Feedback Controllers HW 6 19. Feedback Control of Systems with Large Dead Time or Inverse Response Lecture 14 17. Frequency Response Analysis of Linear Processes Lecture 15 18. Design of Feedback Control Systems Using Frequency Response HW 7 Techniques Lecture 16 20. Control Systems with Multiple Loops 21. Feedforward and Ratio Control Lecture 17 26. Digital Computer Control Loops Material Lecture 18 27. From Continuous to Discrete-Time Systems for Final Lecture 19 28. z-transforms Exam Lecture 20 29. Discrete-Time Response of Dynamic Systems HW 8 Lecture 21 30. Design of Digital Feedback Controllers Lecture 22 31. Process Identification and Adaptive Control 22. Adaptive and Inferential Control Systems HW 9 Lecture 23 Lectures 24+ 23. Synthesis of Alternative Control Configurations for MIMO Processes 24. Interaction and Decoupling of Control Loops 25. Design of Control Systems for Complete Plants HW 10
Appendix ABET Outcome, Criterion 3 (a) an ability to apply knowledge of mathematics, science and engineering. (b) an ability to design and conduct experiments as well as to analyze and interpret data. (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health & safety, manufacturability, and sustainability. (d) an ability to function on multi-disciplinary teams. (e) an ability to identify, formulate and solve engineering problems. (f) an understanding of professional and ethical responsibility. (g) an ability to communicate effectively. (h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. (i) a recognition of the need for and an ability to engage in lifelong learning. (j) a knowledge of contemporary issues. (k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. Program-Specific Outcomes Use chemistry and physics concepts to set up and solve chemical engineering problems Use mathematical tools to solve chemical engineering problems Select appropriate experimental equipment and techniques necessary to solve a given problem Evaluate and interpret experimental results using statistical tools and chemical engineering concepts Apply material and energy balance concepts to design a unit operation Define objectives and perform the design of an integrated chemical process under realistic constraints Define roles and responsibilities to align with capabilities of team members and fulfill project requirements Develop and carry out a project plan through team work Translate an engineering problem into a mathematical model or other suitable abstraction Use mathematical model or other suitable abstraction to solve an engineering problem and interpret results Demonstrate knowledge of professional code of ethics. Identify ethical issues and make decisions for a chemical engineering problem. Make presentations that are factual and tailored to the audience Can communicate in writing to non-technical and technical audiences Understand the impact of chemical engineering solutions in a global, economic, environmental, and societal context. Recognize the importance of advanced education and development opportunities Identify, retrieve, and organize information necessary to solve open-ended problems Know the interplay between current technical and societal issues Know the recent history, current status, and future trends of chemical engineering Use modern software to solve chemical engineering problems Understand how to operate equipment relevant to chemical engineering systems