Fuzzy-neural model predictive control of a building heating system

Margarita Terziyska, Yancho Todorov, Michail Petrov

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

2 Citations (Scopus)

Abstract

This paper describes the development of a Model Predictive Controller with supervision control of a building heating system. A fuzzy-neural model and optimizing procedure as a part of a nonlinear predictive controller are utilized on-line to determine the future values of control actions based on dependence between outdoor and indoor temperatures. A learning algorithm for parameters in fuzzy-neural implementation of the predictive model is additionally applied. Simulation results with a model of a single room heating system demonstrate that a better system performance can be achieved in comparison to classical PID control.

Original languageEnglish
Pages (from-to)69-74
JournalIFAC Proceedings Volumes
Volume39
Issue number19
DOIs
Publication statusPublished - 1 Dec 2006
MoE publication typeA4 Article in a conference publication
EventInternational IFAC Workshop on Energy Saving Control in Plants and Buildings, ESC 2006 - Bansko, Bulgaria
Duration: 2 Oct 20065 Oct 2006

Fingerprint

Model predictive control
Heating
Controllers
Three term control systems
Learning algorithms
Temperature

Keywords

  • Fuzzy control
  • Heating systems
  • Predictive control

Cite this

Terziyska, Margarita ; Todorov, Yancho ; Petrov, Michail. / Fuzzy-neural model predictive control of a building heating system. In: IFAC Proceedings Volumes. 2006 ; Vol. 39, No. 19. pp. 69-74.
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Fuzzy-neural model predictive control of a building heating system. / Terziyska, Margarita; Todorov, Yancho; Petrov, Michail.

In: IFAC Proceedings Volumes, Vol. 39, No. 19, 01.12.2006, p. 69-74.

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

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