Control Systems: From Mathematical Modelling to PID Control

Learn the mathematics that will allow you to model and control any engineering system. Make machines do what you want!

4.75 (809 reviews)

Udemy

platform

English

language

Math

What you will learn

Understand how systems and signals interact in engineering systems.

Model mechanical engineering systems mathematically.

Model electrical and electro-mechanical engineering systems mathematically.

Apply Laplace Transforms to engineering systems and easily solve differential equations.

Fully understand and manipulate transfer functions.

Fully understand stability in engineering systems.

Manipulate and use block diagrams for engineering systems and control design.

Understand and fully grasp control theory including open loop and closed loop control.

Design Proportional (P), Proportional Integral (PI), Proportional Derivative (PD), Proportional Derivative Feedback (PDFB) and Proportional Integral Derivative (PID) controllers.

Use the Empirical Ziegler Nichols Method to design effective P, PI and PID controllers.

Why take this course?

ONE OF THE ONLY COMPREHENSIVE, DETAILED AND APPROACHABLE ONLINE COURSES ON CONTROL SYSTEMS ENGINEERING, SPANNING FROM MATHEMATICAL MODELLING TO PID CONTROL DESIGN!

Today, control systems are everywhere: in cars, military aircrafts, interplanetary rockets, computers, fridges, washing machines, etc. As technology advances, control engineering allows us to design systems which make the most complicated machines do exactly what we want them to do with outstanding accuracy and reliabilty.

This course gives you the opportunity to understand, use and design the following:

- Mathematical Modelling of Engineering Systems.
- Laplace Transforms and Linear Differential Equations.
- Systems' Transfer Functions, Stability and Block Diagrams.
- Open Loop Control, Closed Loop Control and Steady State Performance.
- Proportional (P), Proportional Integral (PI), Proportional Derivative (PD), Proportional Derivative Feedback (PDFB) Controllers.
- Proportional Integral Derivative (PID) Controller Design and Empirical Ziegler-Nichols Method.

I will thoroughly detail and walk you through each of these concepts and techniques and explain down to their fundamental principles, all concepts and subject-specific vocabulary. This course is the ideal beginner, intermediate or advanced learning platform for control systems, the mathematics and the engineering behind them. Whatever your background, whether you are a student, an engineer, a sci-fi addict, an amateur roboticist, a drone builder, a computer scientist or a business or sports person, you will understand the brains behind our most advanced technologies!

If you have questions at any point of your progress along the course, do not hesitate to contact me, it will be my pleasure to answer you within 24 hours!

If this sounds like it might interest you, for your personal growth, career or academic endeavours, I strongly encourage you to join! You won't regret it!

Screenshots

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Reviews

Omar

October 28, 2023

The instructor readily answers questions, but the course content is too basic for my level. Nonetheless, it provided a solid foundation for beginners.

Jithin

March 20, 2023

Not much detail, just a go through of P, PI, PD and PID controller. No discussion about practical circuit.

Susanta

December 31, 2022

The course brings a lot of concepts together to make a solid understanding of PID systems. I was feeling like, it revised most of the learnings of my bachelor's degree in Electronics and communications in a compact course. I would love to try more courses from the same Instructor.

September 11, 2021

Very good lectures. I really like the way how the instructor related the closed loop and open loop control systems using real life simple examples.

Bryan

September 6, 2021

The instructor starts with mathematical principles, which regardless of what type of PID system is implemented (mechanical, electrical) applies equally well.

Dennis

August 5, 2021

A solid course in order to learn or renew the basics of control theory and its different classical controllers with their pro and cons regarding steady-state-error and stability.

Gopinath

May 26, 2021

It’s simple and easy to learn, one constraint o have is the electrical circuits which Iam not familiar with as Iam from an aerospace background slightly worried if more RLC circuit examples are used in the future examples the i would take quite some time to

Roberto

April 10, 2021

It's an excellent course but i would love to look more about the references he's using to come out to the solutions he presents

Deepak

February 24, 2021

Very good presentation of all the required stuff. would have preferred if it had a few more examples and also some exercises to work on and build up on what was learnt. Thank you. it definitely improved my understanding of PID control systems

Frank

January 8, 2021

This was a good refresher course. First time students will most likely need some more detail. It would be nice if the instructor could provide a few example problems in each section (maybe 2-3 per section), along with the correct solutions and answers, so that students could test and reinforce their understanding of the topics presented before moving on to the next one. Also, it would be very helpful if derivations could be provided in the course, so that the course could be completely self contained. These derivations would not necessarily need to be taught, but would be very helpful if students could simply open them and go through them on their own, and not have to search for them on the internet.

Barney

January 1, 2021

Der Kursinhalt ist sehr mathematisch-theoretisch, erst im letzten Kapitel kamen mit der empirischen Ziegler-Nichols Methode einige praktische Tipps dazu. Ich hatte auf mehr Praxis gehofft. - Ich bin Prozessingenieur und arbeite mit SPS-Reglern. Wie müssen diese Module parametriert sein? (z.B. Aufrufzyklus) - Als Praktiker arbeite ich ausschließlich mit PI-Reglern. Wann macht stattdessen ein PID-Regler Sinn? - Wann muss ich statt einer direkten Regelung eine Kaskadenregelung einsetzen? - Gibt es empirische Regeln für die Parametereinstellung von Kaskadenreglern? - Welche Möglichkeiten gibt es für die Störgrößenaufschaltungen? - Wann machen Störgrößenaufschaltungen Sinn? - Das Problem von "Noise" beim Messwert klang nur ganz kurz an. Wann und wie stark muss ein Messwert gedämpft werden?

Hassan

December 4, 2020

A great course to help you understand block diagrams and transfer functions, as well as basic control theory. The instructor is very knowledgeable in his field and the teaching follows a logical structure which is easy to follow and understand! Highly recommended. Just make sure your brush up on your high school algebra so you can follow along with the mathematical manipulations. Overall, very happy. Thank you Eliott :)

Aravind

May 24, 2018

I had taken this course in my previous semester in my current undergraduate degree, but I could not understand head or tail of what was being taught. Here, I am able to follow this course perfectly without any confusion whatsoever!!

Brendon

May 19, 2018

Very well put together. Explanations are clear and easy to follow. Examples are provided that allow for application of what is being taught, ultimately conducive towards crystallizing and understanding.

Gilles

May 2, 2018

The instructor has this amazing talent to steadily bring us from simple concepts to leading edge technology. I enthusiastically recommend it! He will surely do a great academic career!

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