Open AccessPID-fuzzy of DC motors using Raspberry PI
Author(s) -
Sebastián Herrera Aristizábal,
Julio Alejandro Hincapié Correa,
Luis H. González,
Sebastián López Flórez
Publication year - 2020
Publication title -
visión electrónica/visión electrónica
Language(s) - English
Resource type - Journals
eISSN - 2248-4728
pISSN - 1909-9746
DOI - 10.14483/22484728.16361
Subject(s) - duty cycle , pid controller , dc motor , control theory (sociology) , torque , raspberry pi , power (physics) , python (programming language) , engineering , computer science , automotive engineering , control engineering , voltage , electrical engineering , physics , control (management) , temperature control , operating system , quantum mechanics , artificial intelligence , thermodynamics , embedded system , internet of things
This article describes the implementation of a fuzzy and a PID control system for the velocity and torque of a DC power motor, based in the variation of the armor current and its duty cycle. The control system has been applied to a medium power DC motor, using Python, and a low-cost embedded system - Raspberry Pi, this work is fundamental given the importance of implementing velocity and torque controllers that yield energy optimization and correct operation being achieved through the regulation of the duty cycle applied to the power of the DC motor.