Design of a Supervisory Control System for a Clinker Kiln Operation

Eliezer Colina, Mara Falconí, Villie Morocho, José Medina, Alfredo Mora

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Clinker kiln is the core of the cement production process, which is a heavy infrastructure, where a mixture of limestone and clay undergoes physical and chemical transformations at high temperatures. The process has a very complex non-linear behavior, which hinders its control automatically. This article presents the design of a fuzzy logic-based supervisory system for control tasks upon the Clinker kiln operation [1]. The proposed supervisory system, which has been tested offline in an industrial kiln, uses process variables as the temperature in the burning area, the percentage of oxygen and the back-end temperature, to take appropriate control actions to face operating kiln conditions. The considered control variables in the design are the fuel flow to the burner, the air fan speed and the kiln rotational speed. As a result, the supervisory control system tests showed an improvement in kiln stability and clinker production.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
EditorsAlberto Sanchez, Carlos Monsalve, Zenon Chaczko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages387-391
Number of pages5
ISBN (Electronic)9781479975884
DOIs
StatePublished - Oct 1 2015
Externally publishedYes
EventAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Pichincha, Ecuador
Duration: Jul 14 2015Jul 16 2015

Publication series

NameProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015

Other

OtherAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
Country/TerritoryEcuador
CityQuito, Pichincha
Period7/14/157/16/15

Keywords

  • Clinker kiln
  • fuzzy logical system
  • Supervisory control system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

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