Catalog description
Digital control theory, design methodology, and techniques for
controller implementation on digital computers. Discrete system
modeling, system identification and adaptive control methods. Single
and multi-axis motion generation algorithms. Multiple objective
control systems for machinery guidance, manufacturing process and
precision control.
Prerequisites: MECH ENG 340-1,2 and MECH ENG 391, or consent of
instructor.
Who takes it
This course is primarily aimed at graduate students in engineering
and sciences who are interested in the fundamentals and applications
of classical and adaptive methods for the digital control of machines
and processes. Advanced undergraduates can also enroll with the
consent of the instructor.
What it's about
The control of manufacturing machines and processes poses a wide
spectrum of problems due to the generally time varying nature of
the governing physical processes making the use of classical control
methods difficult. This course offers an introductory treatment
of the prevalent methods used for motion and process control in
manufacturing machines such as machine tools and robots by both
customary as well as adaptive control methods. The fundamental and
implementation issues related to real-time system identification,
as a prerequisite for adaptive process control, monitoring and diagnostics,
are also covered. Finally, precision motion command generation and
interpolation algorithms are also introduced.
Mini Syllabus
- Introduction/Review of Digital Control System Theory
- Discrete Models of Dynamic Systems
- System Identification
- Adaptive Control Methods
- Trajectory Generation and Interpolation
- Control of Machines and Processes - Case Studies
Lectures:
The course meets two days per week for 90-minute lectures.
Assessment/Evaluation:
Weekly problem sets (or mini-project) a midterm and a final exam.
All exams will be open book and open notes.
Textbook:
Handouts.
Contact:
Proffessor: Kornel F. Ehmann
e-mail: k-ehmann@northwestern.edu
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