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Course

ME-321: Control systems + TP

Lectures in this course (66)

Covers quadrotor dynamics, control strategies, and system analysis using block diagrams and cascade control.

Covers linear, causal, and time-invariant systems, with practical examples and MATLAB simulations.

Focuses on practical automation of electrical drives, translating theory into hands-on experiments and data analysis.

Explains Proportional Integral Control theory and the Final Value Theorem application.

Examines the impact of proportional and integrator controllers on motor systems.

Explores feedforward control to achieve zero steady-state error and discusses the advantages in handling complex systems.

Covers PI anti windup in control systems and the treatment of saturation.

Covers Proportional Derivative (PD) Control, feedback interpretation, and derivative action implementation in circuits.

Covers the design of a PD control system using pole placement techniques.

Covers Proportional Integral Derivative (PID) Control and its impact on system behavior, stability, and noise amplification.

Explores the Ziegler-Nichols tuning method for stable systems and its practical application in PID control.

Explores the Zieger-Nichols Second Method and Balloon Altitude Control.

Explains impulse response in control systems and its importance in characterizing system behavior.

Covers Ziegernichels tuning, a method to quickly tune PID coefficients for stable and unstable systems.

Explores model-matching via PID controllers and second-order systems for desired behavior in system control.

Covers loop shaping and designing controllers to modify frequency responses for desired system behaviors.

Explains system frequency response, steady-state response computation, and importance of frequency analysis in capturing system dynamics.

Explores Bode plots, Nyquist diagrams, Atomic Force Microscope operation, and frequency response interpretation.

Covers sketching ratio of polynomials on a log-scale and Bode plots of continuous-time systems.

Introduces the Nyquist criterion to determine system stability and covers BIBO stability and stability conditions.