Control Systems Made Simple | Beginner's Guide

Learn fundamentals of Mechanical & electrical system modeling, simulation and control with this unique practical course!

What you'll learn:

• Develop mathematical models for mechanical and electrical systems
• Develop control strategies to achieve desired system response
• Apply Proportional Integral Derivative (PID) controllers to real world applications
• Implement PID Control strategies in Simulink
• Tune controller parameters for optimal system performance
• Draw free body diagrams and analyze forces acting on any system
• Develop transfer functions to describe the behavior of mechanical and electrical systems
• Analyze electrical circuits using Kirchhoff's circuit law
• Develop mathematical models for Battery systems and DC motors
• Simulate Battery Systems and DC motors in MATLAB/Simulink

This course covers the basics of modeling, simulations and control of mechanical and electrical systems.Thecourse is divided into 3 main sections:

1.Mechanical systems modeling,

2. Electrical systems modeling

3. Control systems design

Section #1: Mechanical System Modeling

The section covers thebasics of howto derive mathematical models from scratch, draw free body diagrams,apply Newton’s laws of motion andsimulate mechanical systems using MATLAB/Simulink. This section alsocoversLaplace domains, transfer function development, and system simulationsusing several inputs such as impulse and step inputs.

Section #2: Electrical System Modeling

This section covers electrical systemmodeling fundamentals. It covershow to mathematically model basic elements such as capacitors, resistors and inductors, how to apply Kirchoff’s circuit law to solve various electrical circuit. The section also coversadvanced topics such as how to model DC motors, and batteries in MATLAB/Simulink environment.

Section #3: Control systems fundamentals/Design

This section includes the basics of control system and thesteps required to build anycontrol system. Thissection covers one of the most famous controllers known as PID or Proportional Integral Derivative controller. The section includes basics of how to perform block diagrammodel reductionand how to assess dynamicsystemperformance. Furthermore, thesection covers how to performPID tuning to achieve the best desired systemperformance.