Course details
Model structure selection, noise and disturbance models, system identification- maximum likelihood, least squares, instrumental variables, correlation and frequency domain methods. Controller design in discrete time- z-transform, PID control, polynomial and state space methods, observers, LQR methods, cascade control, feedforward, selector control, gain scheduling, sampling, anti-aliasing and reconstruction, discrete equivalents of continuous time controllers, dead time compensation, nonlinearities, introduction to multivariable methods. Lab component includes identification and real time control of various processes, graphical user interface design and logic programming using Stateflow software.
Prerequisite(s)
- 50% in ELEX 7220
Credits
3.0
- Not offered this term
- This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.
Learning Outcomes
Upon successful completion, the student will be able to:
- Select appropriate model structures and noise model structures for a control model.
- Implement off line and real time system identification algorithms such as least squares, instrumental variable methods and maximum likelihood methods and frequency domain and correlation methods.
- Describe various controller tuning methods.
- Map continuous time models to the discrete domain and vice versa.
- Describe the effect of sampling on control.
- Implement PID, state space, frequency domain, polynomial and LQR design methods for single input, single output control systems.
- Design continuous and discrete time deterministic state observers and Kalman filters.
- Implement selector control to deal with limits.
- Design a cascade control system.
- Apply feedforward in a control design.
- Implement dead time compensation control designs.
- Design anti-aliasing filters and describe the effect of aliasing and folding .
- Implement signal reconstruction algorithms.
- Describe methods to deal with nonlinearities in a control system.
- Describe some methods to deal with multivariable control systems.
- Implement logic programming using state machine diagrams.
- Use modern software to implement graphical user interfaces.
- Implement real time control using rapid prototyping tools.
Effective as of Winter 2007
Related Programs
Discrete-Time Control Systems (ELEX 8180) is offered as a part of the following programs:
School of Energy
- Electronics
Bachelor of Technology Part-time
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