Control Systems: From Mathematical Modelling to PID Control
Original price was: $39.99.$18.99Current price is: $18.99.
What you’ll learn
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Understand how systems and signals interact in engineering systems.
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Model mechanical engineering systems mathematically.
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Model electrical and electro-mechanical engineering systems mathematically.
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Apply Laplace Transforms to engineering systems and easily solve differential equations.
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Fully understand and manipulate transfer functions.
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Fully understand stability in engineering systems.
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Manipulate and use block diagrams for engineering systems and control design.
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Understand and fully grasp control theory including open loop and closed loop control.
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Design Proportional (P), Proportional Integral (PI), Proportional Derivative (PD), Proportional Derivative Feedback (PDFB) and Proportional Integral Derivative (PID) controllers.
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Use the Empirical Ziegler Nichols Method to design effective P, PI and PID controllers.
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!
Who this course is for:
- Anyone interested in fully understanding robotics and control in engineering systems.
- Anyone interested in learning how to control machines accurately and effectively.
12 reviews for Control Systems: From Mathematical Modelling to PID Control
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Original price was: $39.99.$18.99Current price is: $18.99.
Deepak Panduranga –
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
Thats Me –
It was a perfect match. I wish to have more content from my tutor
Roberto Sandoval –
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
A Maruthi Mahadev –
Great course on Control Systems. Explained very well in detail with sufficient number of examples.
Gopinath Meganathan –
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
Ramasooryan Vallatherry –
well explained, made it simple but deep.
Dennis Jagosz –
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.
Atul Abraham –
I enjoyed learning this course
Bryan Fishell –
The instructor starts with mathematical principles, which regardless of what type of PID system is implemented (mechanical, electrical) applies equally well.
Om Harikirubalan –
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.
Roland John Fordham BSc –
A bit fast
SIMON Franck –
Good Cours but For me a support for each examples to print is missing