Control Systems Made Simple | Beginner's Guide
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.
Instructors
![Dr. Ryan Ahmed, Ph.D., MBA](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 32,022 Reviews
- 323,183 Students
- 46 Courses
Dr. Ryan Ahmed is a professor and best-selling online instructor who is passionate about education and technology. Ryan has extensive experience in both Technology and Finance. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University with focus on Mechatronics and Electric Vehicles. He also received a Master of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.
Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. He has taught 46+ courses on Science, Technology, Engineering and Mathematics to over 300,000+ students from 160 countries with 29,000+ 5 stars reviews and overall rating of 4.5/5. Ryan also leads a YouTube Channel titled “Professor Ryan” (~1M views & 22,000+ subscribers) that teaches people about Artificial Intelligence, Machine Learning, and Data Science.
Ryan has over 33 published journal and conference research papers on artificial intelligence, machine learning, state estimation, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA. Ryan is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC’17) in Chicago, IL, USA.
* McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.
- 4.5 Instructor Rating
- 36,341 Reviews
- 517,558 Students
- 70 Courses
Mitch is a Canadian filmmaker from Harrow Ontario, Canada. In 2016 he graduated from Dakota State University with a B.S, in Computer Graphics specializing in Film and Cinematic Arts.
Currently, Mitch operates as the Chairman of Red Cape Studios, Inc. where he continues his passion for filmmaking. He is also the Host of Red Cape Learning and Produces / Directs content for Red Cape Films.
He has reached over 515,000 + Students on Udemy and Produced more than 3X Best-Selling Courses.
Mitch is currently working Producing Online Educational Courses thru Red Cape Studios Inc.
Winning several awards at Dakota State University such as "1st Place BeadleMania", "Winner College 10th Anniversary Dordt Film Festival" as well as "Outstanding Artist Award College of Arts and Sciences".
Mitch has been Featured on CBC's "Windsors Shorts" Tv Show and was also the Producer/Director for TEDX Windsor, featuring speakers from across the Country.
- 4.5 Instructor Rating
- 10,701 Reviews
- 111,751 Students
- 8 Courses
Stemplicity's mission is to make quality education accessible and affordable to everyone. We offer premium courses on Science, Technology, Engineering and Math in an engaging, easy, practical and fun way!
Do you want to learn how to code?
Develop Artificial Intelligence (AI) and machine learning models?
Learn Mathematics?
Understand engineering fundamentals?
Develop control systems?
That’s what we are here to help you do.
Thanks for being here and happy learning!