Innovative fuzzy-neural model predictive control synthesis for pusher reheating furnace

Goran S. Stojanovski, Mile J. Stankovski, I. Rudas, Juanwei Jing

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter is largely based on the paper “Pusher Reheating Furnace Control via Fuzzy-Neural Model Predictive Control Synthesis” presented at IEEE IS 2012 in Sofia, Bulgaria. A design of innovative fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages251-268
Number of pages18
Volume586
DOIs
Publication statusPublished - Mar 1 2016

Publication series

NameStudies in Computational Intelligence
Volume586
ISSN (Print)1860949X

Fingerprint

Model predictive control
Furnaces
Industrial furnaces
Controllers
Dynamic models

Keywords

  • Fuzzy model predictive control
  • Fuzzy neural networks
  • Optimization
  • Set-point control
  • Time-delay processes

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Stojanovski, G. S., Stankovski, M. J., Rudas, I., & Jing, J. (2016). Innovative fuzzy-neural model predictive control synthesis for pusher reheating furnace. In Studies in Computational Intelligence (Vol. 586, pp. 251-268). (Studies in Computational Intelligence; Vol. 586). Springer Verlag. https://doi.org/10.1007/978-3-319-14194-7_13

Innovative fuzzy-neural model predictive control synthesis for pusher reheating furnace. / Stojanovski, Goran S.; Stankovski, Mile J.; Rudas, I.; Jing, Juanwei.

Studies in Computational Intelligence. Vol. 586 Springer Verlag, 2016. p. 251-268 (Studies in Computational Intelligence; Vol. 586).

Research output: Chapter in Book/Report/Conference proceedingChapter

Stojanovski, GS, Stankovski, MJ, Rudas, I & Jing, J 2016, Innovative fuzzy-neural model predictive control synthesis for pusher reheating furnace. in Studies in Computational Intelligence. vol. 586, Studies in Computational Intelligence, vol. 586, Springer Verlag, pp. 251-268. https://doi.org/10.1007/978-3-319-14194-7_13
Stojanovski GS, Stankovski MJ, Rudas I, Jing J. Innovative fuzzy-neural model predictive control synthesis for pusher reheating furnace. In Studies in Computational Intelligence. Vol. 586. Springer Verlag. 2016. p. 251-268. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-319-14194-7_13
Stojanovski, Goran S. ; Stankovski, Mile J. ; Rudas, I. ; Jing, Juanwei. / Innovative fuzzy-neural model predictive control synthesis for pusher reheating furnace. Studies in Computational Intelligence. Vol. 586 Springer Verlag, 2016. pp. 251-268 (Studies in Computational Intelligence).
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