Control Systems: From Mathematical Modelling to PID Control

Control Systems: From Mathematical Modelling to PID Control, available at $44.99, has an average rating of 4.83, with 15 lectures, based on 833 reviews, and has 4375 subscribers.

You will learn about 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. This course is ideal for individuals who are Anyone interested in fully understanding robotics and control in engineering systems. or Anyone interested in learning how to control machines accurately and effectively. It is particularly useful for Anyone interested in fully understanding robotics and control in engineering systems. or Anyone interested in learning how to control machines accurately and effectively.

Enroll now: Control Systems: From Mathematical Modelling to PID Control

Summary

Title: Control Systems: From Mathematical Modelling to PID Control

Price: $44.99

Average Rating: 4.83

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: $29.99

Quality Status: approved

Status: Live

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.

Who Should Attend

Anyone interested in fully understanding robotics and control in engineering systems.
Anyone interested in learning how to control machines accurately and effectively.

Target Audiences

Anyone interested in fully understanding robotics and control in engineering systems.
Anyone interested in learning how to control machines accurately and effectively.

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!

Course Curriculum

Chapter 1: Mathematical Modelling for Engineering Systems

Lecture 1: Systems and Signals

Lecture 2: Mechanical Systems

Lecture 3: Electro-mechanical Systems

Lecture 4: Laplace Transforms

Lecture 5: Laplace Transforms: Solving Linear Differential Equations

Chapter 2: Systems Dynamics

Lecture 1: Transfer Functions

Lecture 2: Stability and Block Diagrams

Chapter 3: Control Theory

Lecture 1: Control Objectives and Open Loop Control

Lecture 2: Closed Loop Control

Chapter 4: Automatic Continuous Time Controller Design

Lecture 1: The Proportional Controller (P)

Lecture 2: The Proportional Integral Controller (PI)

Lecture 3: The Proportional Derivative Controller (PD)

Lecture 4: The Proportional Derivative Feedback Controller (PDFB)

Lecture 5: The PID Controller and Ziegler Nichols Design Method

Lecture 6: Course Discount: "Model a Car and Design a PID Controller in MATLAB/SIMULINK"

Instructors

Eliott Wertheimer
Aerospace Engineer and Founder @FuroSystems

Rating Distribution

1 stars: 14 votes
2 stars: 29 votes
3 stars: 142 votes
4 stars: 298 votes
5 stars: 349 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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