The objective of this course is to improve your understanding of process control principles and practice, so that you are able to design, maintain and improve basic and advanced process control techniques. The course will present methodologies and techniques to generate process control strategies, algorithms and parameters. Only a basic understanding of process control is required as a background. The course presents material that the instructors have developed and presented in two well-known textbooks cited above.

Participants

The course will be valuable to practicing process control professionals as well as for faculty involved in teaching process control courses. You will be getting hands-on experience with the most often used tools and techniques of process control. You will be provided with copies of the two books, as well as the CD-ROM containing the software that is available with the book in addition to course notes.

Benefits for Participants

You will improve your understanding of process control and learn how to apply the theory to improve control of new and existing processes. In particular you will learn about model-based control strategies that are now widely employed in the process industries to implement advanced control projects.

Target Audience

Engineers interested in applying, maintaining and improving process control systems. The instructors will review all of the mathematical and computer techniques necessary to understand and apply the material being presented. Faculty and graduate students interested in interacting with practicing engineers and broadening their background in control may also find the course useful, as may managers and professionals working on advanced control projects.

Course Instructors

Dr. Carlos A. Smith is Professor of Chemical Engineering and Associate Dean of Academics in the College of Engineering, University of South Florida, Tampa. He is the author of two best selling books on process control: Principles and Practice of Process Control (a widely used undergraduate textbook, co-authored with Dr. A. Corripio) and Automated Continuous Process Control (a text for practicing process control engineers, with CD-ROM containing laboratory exercises) both published by John Wiley and Sons, New York. He teaches numerous short courses to professionals. Contact: csmith@eng.usf.edu

Dr. Babu Joseph is Professor and Chair of Chemical Engineering at USF. He has been doing teaching and doing research on process control for more than 30 years. He is author of three books: Real-time Personal computing (Prentice-Hall, NJ, 1987), Wavelet Applications in Chemical Engineering ( co-edited with Dr. Motard, Kluwer Academic, 1995) and Model-based Process Control ( co-authored with Dr. Brosilow, Prentice-Hall, 2002). He has also published over 100 journal articles on the field of process control. Contact: joseph@eng.usf.edu

Dr. Coleman Brosilow if Professor of Chemical Engineering at Case Western Reserve University and Ben Gurion University of the Negev. He has been active in teaching and doing research on the field of process control for more than 35 years. He received the 1989 AIChE Computing and Systems Technology Division Award for his influential, pioneering work in simulation of complex chemical processes and model-based control. He is founder of ControlSoft, a leading supplier of software for the control industry. He is co-author of the recently published book, Model-based Process Control (Prentice-Hall, 2002). Contact: Brosilow@po.cwru.edu

Course Locations

Course will be taught in the Computer-assisted classrooms in the College of Engineering at USF, Tampa, Florida. The classrooms are equipped with state of the art projection systems and a computer on every student desk. USF is located next to Busch Gardens, a popular theme park attraction.

Tampa/St/Petersburg/Clearwater area is a popular vacation destination with numerous white water sandy beaches, popular theme parks and other attractions. Orlando, vacation capital Florida is only 75 miles away.

Fees

The fee for this 5-day course is $2500, which includes, Registration, course materials, lunches and coffee breaks. This fee also covers the Continuing Education Credits that is awarded to all participants.

Accommodations

There are many attractive hotels and motels near the campus, some within walking distance. A list of hotels is available here: http://www.usf.edu/hotels.html

Continuing Educations Credits

Available on request

Contact Information

For further information please contact Dr. Babu Joseph at joseph@eng.usf.edu. He can also be reached at (813) 974-3997.

Schedule

Session

Lecture

Workshop

1. Monday

8:00-10:00

Introduction. Hierarchy of process control. Basic concepts of feedback control. Basic Feedback control concepts. Advanced Control concepts. Outline of course.

Introduction to Naphtha cracking process in Simulink. Feedback control of reactor temperature

2. Monday

10:00-12:00

Modeling for process control. Types of process models; FOPDT model; Step testing;

Discrete model representations. Step response models. Short notation using difference operator.

Step test model of the cracker. Using Matlab to graph the data and check accuracy. Effect of external disturbances.

3.Monday

1:00-3:00

Internal model control. IMC principles. Relation to PID control. PID design from IMC

IMCTUNE. Design of a controller assuming perfect models. Testing using simulation. Application to the naphtha cracker.

4.Monday

3:00-5:00

2 degree of freedom (2df) IMC and PID controllers for oscillatory and unstable processes, and processes with relatively slow disturbances (i.e. large disturbance lags)

Design and compare a 2df versus 1df control systems for various processes.

5. Tuesday

8:00-10:00

Mp tuning strategy for robust control of uncertain processes with a review of frequency response. Estimating uncertainty. Inverse tuning.

Use IMCTUNE for controller tuning for uncertain processes. Estimating best (fastest) and worst (slowest) control system performance.

6. Tuesday

10:00-12:00

Mp synthesis of controllers for uncertain processes. Relationship between process uncertainty and controller complexity

Use IMCTUNE for controller synthesis for uncertain processes. Exploring relationship between process uncertainty and controller complexity via IMCTUNE

7. Tuesday

1:00-3:00

Identification. Basic concepts. Least-square fitting. Issues.

Design and test identification on an example process

8. Tuesday

3:00-5:00

Identification. Advanced concepts. Design of input signals. Noise filtering. Multivariable systems

Using Modelbuilder.

9. Wed

8:00-10:00

Feed forward control Why feed forward. Synthesis. Tuning. Effect of uncertainty. Examples

Design and tune a feed forward controller

10. Wed

10:00-12:00

Cascade control. Why cascade. Tuning for cascade control. IMC Cascade control.

Design and tune a cascade control. Use of IMC cascade tuner

11. Wed

1:00-3:00

Override control. Why override. Examples. Tuning of override controllers.

Design and tune an override controller.

12. Wed

3:00-5:00

Inferential control. Why inferential control. Examples. Tuning of inferential controllers.

Design and tune an inferential controller.

13. Thurs

8:00-10:00

Multivariable control. Decentralized strategies. Control loop pairing.

Application to an example process.

14. Thurs

10:00-12:00

Model Predictive Control. Basic concepts. Tuning parameters. Tuning guidelines

Application to an example process

15. Thur

1:00-3:00

Advanced Model Predictive control. Constraint handling. LP-MPC and QP-MPC algorithms.

16. Thurs 3:00-5:00

MIMO IMC. Motivation for, and computation of SISO and MIMO Model State Feedback (MSF) implementations of IMC.

IMCTUNE: SISO comparison of Lead-lag and MSF IMC implementations

17. Fri

8:00-10:00

MIMO Model State Feedback

IMCTUNE: MIMO controller design and tuning for nearly decoupled control of uncertain multivariable processes.

18. Fri

10:00-12:00

Wrap up session.