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 language | English |
|---|---|
| Title of host publication | 1st IFAC Workshop on Energy Saving Control in Plants and Buildings |
| Publisher | Elsevier |
| Pages | 69-74 |
| ISBN (Print) | 978-3-902661-19-7 |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
| MoE publication type | A4 Article in a conference publication |
| Event | International IFAC Workshop on Energy Saving Control in Plants and Buildings, ESC 2006 - Bansko, Bulgaria Duration: 2 Oct 2006 → 5 Oct 2006 |
Publication series
| Series | IFAC Proceedings Volumes |
|---|---|
| Number | 19 |
| Volume | 39 |
| ISSN | 1474-6670 |
Conference
| Conference | International IFAC Workshop on Energy Saving Control in Plants and Buildings, ESC 2006 |
|---|---|
| Country | Bulgaria |
| City | Bansko |
| Period | 2/10/06 → 5/10/06 |
Keywords
- Fuzzy control
- Heating systems
- Predictive control
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Cite this
Terziyska, M., Todorov, Y., & Petrov, M. (2006). Fuzzy-neural model predictive control of a building heating system. In 1st IFAC Workshop on Energy Saving Control in Plants and Buildings (pp. 69-74). Elsevier. IFAC Proceedings Volumes, No. 19, Vol.. 39 https://doi.org/10.3182/20061002-4-BG-4905.00012