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Control Systems Made Simple | Beginner's Guide

Master mechanical & electrical system modeling, simulation, and control. Hands-on practical skills for engineers!

4.6(1,119)
8,255students
7h 27m
Certificate
Prof. Ryan Ahmed | 450K+ Students | Best-Selling Professor | 250K+ YouTube
Prof. Ryan Ahmed | 450K+ Students | Best-Selling Professor | 250K+ YouTubeAI, LLMs, Agentic AI, Cloud, Data Science, & CoPilot Courses

Course Content

Control Systems Made Simple | Beginner's Guide is an all-levels Udemy course taught by Prof. Ryan Ahmed | 450K+ Students | Best-Selling Professor | 250K+ YouTube. It runs 7h 27m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 1,119 reviews, with 8,255 students enrolled. It is a paid course, last updated September 2018.

Explore the fundamentals of modeling, simulation, and control in mechanical and electrical systems with this comprehensive course. This program is structured into three key sections, providing a strong foundation in engineering principles.

Mechanical Systems Modeling

Delve into the core concepts of mechanical systems modeling. Learn to derive mathematical models from first principles, master the use of free body diagrams, and apply Newton's laws of motion. Gain practical experience simulating mechanical systems using MATLAB/Simulink. You'll also explore Laplace domains, develop transfer functions, and analyze system responses to various inputs, including impulse and step inputs.

Electrical Systems Modeling

This section focuses on the fundamentals of electrical system modeling. Understand how to mathematically represent essential components like capacitors, resistors, and inductors. Apply Kirchhoff's circuit laws to analyze and solve diverse electrical circuits. Advance your skills by learning to model complex components such as DC motors and batteries within the MATLAB/Simulink environment.

Control Systems Fundamentals & Design

Master the basics of control systems and the essential steps involved in designing effective control solutions. This section introduces the widely used PID (Proportional Integral Derivative) controller. Learn about block diagram model reduction techniques and methods for assessing dynamic system performance. Finally, gain proficiency in PID tuning to optimize system performance and achieve desired results.

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