Experimental Model Identification

Related lectures (26)

Page 2 of 3

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

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

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

Covers the design of controllers using loop shaping techniques for position control.

Explains disturbance rejection using a P controller and its impact on system stability.

Explores lag compensator design in control systems, emphasizing phase margin and steady-state error improvement through practical examples.

Provides a recap on frequency methods for designing PD controllers for systems.

Explores Z-transform analysis for discrete-time systems and transfer functions in control systems.

Covers the Nyquist criterion for stability analysis in control systems, using the Nyquist diagram to determine closed loop poles.