Fuzzy Logic Type 2 applied to Didactic Factory for Industrial Process Control, respect to Flow and Level Variables

  • Gustavo Adolfo Díaz Centro de Electricidad y Automotización Industrial, SENA, Valle del Cauca
  • Jesús Alfonso López Sotelo Programa de Ingeniería Mecatrónica, Universidad Autónoma de Occidente
  • Eduardo Caicedo Bravo Universidad del Valle
Keywords: PLC, Fuzzy logic type 1, Fuzzy logic type 2, Neural networks, Fuzzy Logic system, OPC Server.

Abstract

We report the use of fuzzy logic type 1 and 2 for industrial process control, as well as the implementa­tion of an industrial PLC (PLC) and comparisons across the parameters of performance ISE, IAE, control effort. Matlab software is used to develop the machines, a type of fuzzy infer­ence and two kinds Mandami, which helped get the parameters that were sent through a multilayer neural network to the PLC, the utility of the OPC and for the control of variables Process flow and level

Author Biographies

Gustavo Adolfo Díaz, Centro de Electricidad y Automotización Industrial, SENA, Valle del Cauca
Bio Statement is available in Spanish
Jesús Alfonso López Sotelo, Programa de Ingeniería Mecatrónica, Universidad Autónoma de Occidente
Bio Statement is available in Spanish
Eduardo Caicedo Bravo, Universidad del Valle
Bio Statement is available in Spanish
Published
2009-08-18
Section
Case Report