Airflow station controlled by PID and fuzzy controllers using a low cost card for didactic uses in controllers' evaluation


Abstract:

This paper presents a flow station implementation where the control can be carried out by using two algorithms: PID proportional integral derivative control and the fuzzy control. Both programmed in a low cost board. In this plant, the engineering students will be able to evaluate the behavior of the two control algorithms applied to an airflow station. The temperature variable is displayed in an HMI, the same one that is developed using python. The system implemented is easy to use and allows the students of the Electronics Programs to programing embedded systems using free software and improve the teaching-learning process in the Process Control subject.

Año de publicación:

2018

Keywords:

  • linux
  • beaglebone
  • Fuzzy
  • PYTHON
  • Pid

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Sistema de control

Áreas temáticas:

  • Física aplicada
  • Otras ramas de la ingeniería
  • Instrumentos de precisión y otros dispositivos