PID Control with Arduino

20 Apr , 2018  

  • Having a basic understanding of electronics + C coding and exposure to the Arduino platform.
  • Having a good foundation in math/physics and some exposure to calculus.
  • Preferred: Intuitive understanding of feedback control and stability.

Learn the basics behind how a proportional-integral-derivative (PID) controller works and how to implement one on the Arduino hardware!

A PID controller is the most common feedback controller used in the industry, but they can also be used for hobbyist electronic projects such as quad-copters, self-balancing robots, temperature controllers, and much more! In this course, we will not be going into the classical control theory behind PID controllers, instead we will approach the controller intuitively so that it’s role and implementation is practically understood. 

The lecture series contains 7 lectures covering: 

  • Feedback Systems, P, PI, and PID Controllers
  • Arduino Implementation and Live Demonstration (Propeller Arm Example)
  • Heuristic PID Tuning 

A template for the Arduino code will also be provided and explained in the series. In order to demonstrate the controller in real-time, a propeller arm example has been constructed. The live demonstration will be used to explain the behavior of the PID controller and how to tune one heuristically. 

This course is suitable for any student, engineer, hobbyist, or maker who always wished to understand PID control in a easy intuitive manner; although a basic understand of electronics, C coding, and calculus is preferred. Having knowledge of feedback control prior to taking this course is also a plus!

After taking this course, you will not only understand PID control better, but you’ll become a lot more comfortable with designing projects that involve feedback control.

Who is the target audience?
  • Any engineer, student, or hobbyist who wishes to learn how to implement a PID controller in hardware (Arduino/Microcontrollers).
  • Anyone designing projects that involve feedback control (quad-copters, self-balancing robots, temperature control, etc).

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