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ELEX 8180 - Discrete-Time Control Systems

Electrical and Computer Engineering Part-time Studies Course

School of Energy

BCIT is planning for a substantial return to on-campus activity for the fall 2021 term as informed by BC Public Health Officer guidelines. Refer to each course listing for details.

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)

ELEX 7220

Credits

3.0

Cost

$682.98

Winter 2022

Below is one offering of this course for the Winter 2022 term.

CRN 72939

Wed Jan 05 - Wed Apr 06 14 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 05 - Apr 06 Wed 18:30 - 21:30 BBY SW01 Rm. 1021

Instructor

Gino Carrese

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$682.98

Notes

  1. Labs to be scheduled outside of class hours on a schedule to be determined on the first day of class. Registrants who are not BTech Electronics students must have approval from the program head. Electronics students must have Program Head approval. Please contact Katie Howard at 604-432-8237 or khoward18@bcit.ca for more information, or to be placed on a wait-list if the course is full. Note: BCIT reserves the right to cancel courses. In the event of a Part-time Studies course cancellation, you will be notified at least two business days prior to the course start. Please ensure that your contact information is current.

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

ELEX 8180 is offered as a part of the following programs:

School of Energy

  1. Electronics
    Part-time   Bachelor of Technology

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