Lectures related to PID Controllers: Theory and Implementation

Model Reference Method: PID Regulator Design

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

Introduction to Feedback Control Systems: Concepts and Applications

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

Stability and Sensitivity in Control Systems

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

Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.

State-Space Representation: Controllability and Observability

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Feedback Mechanisms in Visual Intelligence and Adaptation

Explores the significance of feedback mechanisms in visual intelligence and adaptation processes.

Feedback Control Systems: PID Regulator Synthesis

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

PID Control in Robotics

Explores the impact of P, D, and I parameters on control systems in robotics.

Designing PID Controllers with Ziegler-Nichols Method

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

Untitled

Cascade Control: Furnace Temperature and Gas Pressure Regulation

Explores cascade control for furnace temperature and gas pressure regulation, showcasing its advantages over single-loop systems.

Control and Field Level Devices

Covers the fundamentals of control and field level devices in industrial automation, including PLCs, programming, different types of controllers, and advanced control strategies.

Untitled

Course Organization and Dynamics of Systems Control

Covers course organization, system control, dynamics, artificial intelligence, water cycles, and sea currents.

Nyquist Criterion: Stability Analysis

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

Nyquist Stability Criteria

Explains Nyquist stability criteria and loop shaping for system performance and robustness.

Nonlinear Model Predictive Control

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Dynamic Systems: Control and Stability Analysis

Explores dynamic systems, focusing on control mechanisms and stability analysis through practical examples and mathematical modeling.

Feedforward Controllers: Heat Exchanger Example

Explains feedforward controllers using a heat exchanger example.

Multivariable Control: Weight Design and Stability Analysis

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.