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ELEC 444 Modeling and Computer Control of Mechatronic Systems Units: 3.25
This course provides an introduction to modeling and analysis of the dynamics of mechatronic processes and computer control of such systems. Topics include modeling and simulation of mechanical, electrical, thermal, and fluid systems, sampled-data systems and equivalent discrete system, overview of Z-transform, dynamic response of second-order discrete systems, stability analysis and design of linear discrete-time control systems using root locus and frequency response methods. The modeling and controller design methods are implemented and tested using MATLAB/Simulink and laboratory experiments.
NOT OFFERED 2024-2025
(Lec: 3, Lab: 0.25, Tut: 0)
NOT OFFERED 2024-2025
(Lec: 3, Lab: 0.25, Tut: 0)
Requirements: Prerequisites: ELEC 324 or MREN 223, ELEC 344 or ELEC 345 or MREN 318, ELEC 443 or MECH 350
Corequisites:
Exclusions:
Offering Term: W
CEAB Units:
Mathematics 0
Natural Sciences 0
Complementary Studies 0
Engineering Science 29
Engineering Design 10
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Describe dynamic models for mechanical, electrical, thermal and fluid systems, and know how to linearize the nonlinear dynamics associated with these systems.
- Describe the effect of sampling rate and quantization on the stability and performance of discrete-time systems.
- Analyze the stability, transient response and steady-state response of discrete-time feedback systems.
- Design continuous-time controllers for the continuous-time plant and derive their discrete-time equivalents using various available techniques, including Euler rectangular methods, Tustin method, impulse invariance, and matched zero-pole.
- Design a discrete-time controller for the discrete-time equivalent of the plant using root locus or frequency-domain methods, such as Bode or Nyquist plots.