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

Authors

  • 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

DOI:

https://doi.org/10.18046/syt.v7i13.1004

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

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Published

2009-08-18

Issue

Vol. 7 No. 13 (2009)

Section

Case Report

License

This journal is licensed under the terms of the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode).