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 |
|---|---|
| Pages (from-to) | 93-98 |
| Journal | IFAC Proceedings Volumes |
| Volume | 39 |
| Issue number | 19 |
| 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 |
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Keywords
- Fuzzy control
- Heating systems
- Predictive control
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Adaptive supervisory tuning of nonlinear model predictive controller for a heat exchanger. / Terziyska, Margarita; Todorov, Yancho; Petrov, Michail.
In: IFAC Proceedings Volumes, Vol. 39, No. 19, 01.12.2006, p. 93-98.Research output: Contribution to journal › Article in a proceedings journal › Scientific › peer-review
TY - JOUR
T1 - Adaptive supervisory tuning of nonlinear model predictive controller for a heat exchanger
AU - Terziyska, Margarita
AU - Todorov, Yancho
AU - Petrov, Michail
PY - 2006/12/1
Y1 - 2006/12/1
N2 - 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.
AB - 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.
KW - Fuzzy control
KW - Heating systems
KW - Predictive control
UR - http://www.scopus.com/inward/record.url?scp=41749116296&partnerID=8YFLogxK
U2 - 10.3182/20061002-4-BG-4905.00016
DO - 10.3182/20061002-4-BG-4905.00016
M3 - Article in a proceedings journal
AN - SCOPUS:41749116296
VL - 39
SP - 93
EP - 98
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8971
IS - 19
ER -