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Título: Control Systems Design: Complex Control system


Descripción automática: In this video, a lecturer from a polytechnical university in Spain lectures on control system design, focusing on complex control systems in Module Four of a course on dynamics and control. He recaps the basic open-loop and closed-loop control structures, emphasizing the need for perfect knowledge of the process model for tracking control and the role of high gain in potentially causing instability due to noise and disturbance effects.

The video proceeds to introduce concepts to enhance basic control structures. For open-loop systems, virtual sensors (also known as estimators, observers, or filters) are presented as tools to obtain a 'virtual' measurement of internal variables and disturbances, reducing measurement noise. For closed-loop systems, improvements include filtering the derivative action to prevent large spikes and limiting the integral action to avoid plant behavior distortion through methods such as "anti-windup" and reset control.

The lecturer then explains cascade control, where a system is broken down into sub-processes, each controlled by a PID controller. The 'slave' controller acts on the inner process, while the 'master' controller oversees the resulting fast and disturbance-reduced inner loop for better overall control. Model Predictive Control (MPC) and Adaptive Control are also discussed, illustrating how future behavior of the system is shaped to follow a reference and how adapting controller parameters based on identified models can correct for unknown or changing processes.

The video concludes by briefly mentioning other advanced control strategies like nonlinear control, robust control, and intelligent control while inviting viewers to explore these topics further. The session ends with a forward look at the upcoming module that covers the benefits of control systems.

Autor/a: Albertos Pérez Pedro



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