Centre for Intelligent Machines |
McGill University |
Advanced Industrial Control |
This course presents an overview of advanced controller design strategies for multivariable industrial processes, starting from the familiar PID control structure to the more advanced H-infinity design technique.
The theory behind new multivariable control algorithms will be presented briefly, as the emphasis is rather being put on design techniques and tools. Simple yet realistic process examples, including a heated water tank and a room heating system, are used to illustrate the controller design techniques. Finally, current technologies for implementing the controllers are discussed. |
Dr. Benoit Boulet, Eng., is an expert on industrial control. Dr. Boulet is Director of the Centre for Intelligent Machines and Associate Chair (Operations) of the Department of Electrical and Computer Engineering at McGill University. Prior to becoming a professor at McGill, Dr. Boulet worked as a consulting control engineer in the mining and metals industry. |
Feedback control makes industrial machines and processes much more efficient.
This course presents an overview of advanced controller design strategies for multivariable industrial processes, starting from the familiar PID control structure to the more advanced H-infinity design technique. |
1-day course for industry |
Date: August 29, 2008 |
Time: 9:00-16:00 |
$650(CAD) per person. This fee includes a lunch meal and a course pack composed of course notes, the book "Fundamentals of Signals & Systems" by Benoit Boulet, and a CD-ROM disc containing Matlab control design examples. |
About the Course |
Fee |
Dr. Benoit Boulet, Eng., Course Instructor |
Centre for Intelligent Machines |
Contact B. Boulet: 514-398-1478 |
e-mail: boulet@cim.mcgill.ca |
This is a one-day intensive course taught in English and presenting the state-of-the-art in robust industrial control design techniques. The course is at the level of a senior undergraduate electrical engineering or mechanical engineering student.
AM1. Background on industrial feedback control systems 2. PID control 3. State feedback 4. Nominal stability and performance of feedback control systems 5. Hoo-optimal control PM6. Uncertainty modeling for robust control 7. Robust closed-loop stability and performance 8. Robust Hoo control 9. Technologies for Controller Implementation
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Course Outline |