ME-326: Control systems and discrete-time control

Lectures in this course (34)

Covers the principles of feedback control systems and their applications in various fields.

Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.

Explores electric motor principles, linearity, control systems, active suspensions, and Laplace transforms.

Explores the application of final value theorem and static gain in control systems.

Explores the effects of poles and zeros on system response and the importance of system modeling and control strategies.

Explores system identification, stability criteria, and challenges in stabilizing cameras on moving platforms.

Explores closed-loop control systems, PID regulator design, and performance analysis.

Explores stability, sensitivity, tracking performance, and regulation error in control systems.

Explores the theory and implementation of PID controllers, including tuning methods and practical considerations in industrial settings.

Explores the Ziegler-Nichols method for PID controller design and manual tuning in industry.

Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.

Explores frequency response analysis through Bode and Nyquist diagrams, emphasizing controller synthesis and system stability.

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