Decentralized control versus a Fuzzy supervisory control: A comparison in a Quadruple-Tank Process

Katherine Aro, Nemesis Escobar, Danilo Chavez, Paulo Leica, Oscar Camacho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This document developed a fuzzy supervisory control based on fuzzy logic for a four-Tank multivariable system. A hierarchical control structure was established which basic principle is to decompose and coordinate highly complex systems and work them as subsystems. This hierarchical system was shaped by two layers. The first was a supervisory layer, in which initially the variable with major weight was found within the process to establish a hierarchy of variables, this was calculated through the decomposition into singular values of the Hankel matrix, also, considering the behavior of the plant in face of reference changes, it was sought to retune in line the parameters of the controllers arranged in the regulatory layer, this using fuzzy logic. The regulatory layer is the one that receives the parameters, which worked with independent control loops based on the structure of PID controllers that regulated the behavior of the four-Tank system.

Original languageEnglish
Title of host publication2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538666579
DOIs
StatePublished - 17 Dec 2018
Externally publishedYes
Event3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018 - Cuenca, Ecuador
Duration: 15 Oct 201819 Oct 2018

Publication series

Name2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018

Conference

Conference3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018
Country/TerritoryEcuador
CityCuenca
Period15/10/1819/10/18

Keywords

  • Fuzzy
  • Multivariable systems
  • Online tunning
  • Supervisory

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