Learn the foundations of control systems: modeling, block diagrams, and feedback basics
This course provides a comprehensive introduction to the fundamental concepts of automatic control systems. Designed for engineering students and technical professionals, it offers a systematic approach to understanding control theory through clear visual explanations and practical examples drawn from electrical engineering applications.
What you’ll learn
- Understand how physical systems are modeled for control purposes.
- Learn the basics of transfer functions and block diagram representation.
- Analyze system stability and response behavior.
- Get introduced to feedback control loops and their properties.
Course Content
- Introduction to Control Systems –> 2 lectures • 5min.
- Control Schemes –> 1 lecture • 2min.
- Plant Modeling –> 2 lectures • 8min.
- Block Diagrams –> 4 lectures • 23min.
- Transfer Functions & Step Responses –> 5 lectures • 24min.
Requirements
This course provides a comprehensive introduction to the fundamental concepts of automatic control systems. Designed for engineering students and technical professionals, it offers a systematic approach to understanding control theory through clear visual explanations and practical examples drawn from electrical engineering applications.
Control systems are everywhere in modern technology – from the simple thermostat regulating room temperature to sophisticated autopilot systems in aircraft and cruise control in automobiles. Understanding how these systems work is essential for any engineer working in electrical, mechanical, aerospace, or mechatronics fields. This course gives you the foundational tools to analyze and understand such systems.
Course content includes:
– Fundamental concepts of automatic control and dynamic systems
– Definition and identification of input, output, and disturbance signals
– The “With what? What? Despite what?” framework for systematic analysis
– Comparison of feedforward and feedback control schemes and when to use each
– Mathematical modeling of electrical circuits including RC and RLC parallel configurations
– Derivation of first-order and second-order system equations using Kirchhoff’s laws
– Block diagram representation, notation, and conventions
– Understanding key block diagram elements: integrators, gain blocks, and summing junctions
– Step-by-step construction of block diagrams from differential equations
– Verification of block diagram accuracy against original system equations
The course emphasizes conceptual understanding through step-by-step derivations and visual demonstrations. Each topic builds upon the previous one, creating a coherent learning path from basic definitions to complete block diagram analysis of second-order systems. Complex mathematical concepts are presented in an accessible manner without sacrificing technical accuracy or rigor.
The visual teaching approach used throughout this course helps you develop intuition for how signals flow through control systems and how mathematical equations translate into graphical representations.
Upon completion, students will possess the foundational knowledge necessary for advanced studies in control systems engineering, including stability analysis, frequency response methods, root locus techniques, and controller design.
Prerequisites: Fundamental knowledge of algebra and differential calculus. Familiarity with basic electrical circuit concepts is helpful but not required. No prior exposure to control theory is assumed.