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Linear controller design in a variety of application areas. Model equations from first principles, empirical models. Continuous and discrete time frameworks. PID control analysis, transform controller design, state feedback design the linear quadratic Gaussian regulator problem, dead time compensation, sensitivity analysis, predictive control. Hands-on labs form an integral part of the course.
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. Please contact Katie Howard at 604-432-8237 or firstname.lastname@example.org 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.
Upon successful completion of this course, the student will be able to:
Justify the use of feedback as opposed to open loop control.
Formulate the fundamental problem of feedback design.
Derive the describing equations for simple dynamic systems and place a model in transfer function or state space format.
Sketch the root locus of a transfer function and use the root locus technique for different parameters.
Generated a root locus using computer-aided control system design tools.
Relate pole zero locations of a system transfer function to time domain behaviour such as overshoot, steady state error, settling time and rise time.
Design a classical PID controller and analyze the effect of each controller mode on the closed loop dynamic response.
Implement anti-windup and bumpless transfer schemes as well as derivative filtering.
Use the Bode and Nyquist diagrams for compensator design, stability analysis and sensitivity analysis via the frequency response.
Describe the effects of dead time on the Bode and Nyquist diagrams.
Design a state feedback controller using pole placement methods.
Design a full order and reduced order observer for a given model.
Solve the linear quadratic regulator problem to design a state space controller.
Use computer aided design tools to help design control systems.
Effective as of Winter 2007
ELEX 7220 is offered as a part of the following programs:
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