Table of Content

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

# Requirements

• No prior Experience or knowledge is required

# Description

This course covers the basics of modeling, simulations and control of mechanical and electrical systems. The course 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 the basics of how to derive mathematical models from scratch, draw free body diagrams, apply Newton’s laws of motion and simulate mechanical systems using MATLAB/Simulink. This section also covers Laplace domains, transfer function development, and system simulations using several inputs such as impulse and step inputs.

Section #2: Electrical System Modeling

This section covers electrical system modeling fundamentals. It covers how 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 covers advanced 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 the steps required to build any control system. This section covers one of the most famous controllers known as PID or Proportional Integral Derivative controller. The section includes basics of how to perform block diagram model reduction and how to assess dynamic system performance. Furthermore, the section covers how to perform PID tuning to achieve the best desired system performance.

# Who this course is for:

• For students who want to learn system modeling and control systems fundamentals
• For people who want to learn Electrical and Mechanical system simulation fundamentals
• For people who want to learn how to develop control algorithms in MATLAB and Simulink
• For people who want to learn System-level modeling Fundamentals and develop their own Models in MATLAB/Simulink.
• For Complete Programming Beginners.