Abstract
It is presented in this paper an adaptive predictive supervisory algorithm to the temperature control of a heating system with a heat exchanger. The nonlinear predictive control strategy is designed on the basis of a Takagi-Sugeno fuzzy-neural model and a simple optimization procedure. An additional supervisory level in the control system is introduced for adaptive tuning of a weighting factor in the predefined optimization criterion. Using the proposed algorithm a higher system performance can be achieved which leads to reduction of the energy consumption into the heating system. The proposed approach is studied by experimental simulations to control a temperature in the heating system.
Original language | English |
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Title of host publication | 1st IFAC Workshop on Energy Saving Control in Plants and Buildings |
Publisher | Elsevier |
Pages | 93-98 |
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 |
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Number | 19 |
Volume | 39 |
ISSN | 1474-6670 |
Conference
Conference | International IFAC Workshop on Energy Saving Control in Plants and Buildings, ESC 2006 |
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Country/Territory | Bulgaria |
City | Bansko |
Period | 2/10/06 → 5/10/06 |
Funding
The authors would like to acknowledge Ministry of Education and Science of Bulgaria Research Fund Project No: BY-TH-108/2005.
Keywords
- Fuzzy control
- Heating systems
- Predictive control