Fuzzy control of rotary cement kiln using sintering zone image recognition

Dmitry Yudin, Valery Magergut, Vasiliy Rubanov

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

1 Citation (Scopus)

Abstract

Article analyses modern machine vision-based approaches of the rotary kiln monitoring and control which reduces energy consumption and improve clinker quality. Article describes fuzzy advising control unit developed by the authors. It based on sintering zone state assessment, the kiln rotation period and the relative change of the exhaust gases temperature. Advising control rule base for rotary cement kiln of wet technological process is developed. Structure of fuzzy control system is proposed on the basis of advising control unit. It is applicable both independently and as a part of the existing rotary kiln control systems.

Original languageEnglish
Title of host publicationDT 2014 - 10th International Conference on Digital Technologies 2014
PublisherIEEE Computer Society
Pages365-370
Number of pages6
ISBN (Print)9781479933013
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event10th International Conference on Digital Technologies, DT 2014 - Zilina, Slovakia
Duration: 9 Jul 201411 Jul 2014

Publication series

NameDT 2014 - 10th International Conference on Digital Technologies 2014

Conference

Conference10th International Conference on Digital Technologies, DT 2014
Country/TerritorySlovakia
CityZilina
Period9/07/1411/07/14

Keywords

  • Fuzzy control
  • Image recognition
  • Machine vision
  • Rotary cement kiln
  • Sintering zone

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