Application of a Transition Graph-Based Predictive Algorithm to a Solar Air Conditioning Plant

This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant. The process considered is a hybrid system of variable configuration subject to disturbances in its main energy source, namely solar radiation. The predictive al...

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Vydané v:	IEEE transactions on control systems technology Ročník 18; číslo 5; s. 1162 - 1171
Hlavní autori:	Zambrano, D, Garcia-Gabin, W, Camacho, E F
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.09.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Air conditioning Air conditioning. Ventilation Algorithms Applied sciences Automatic control Computational efficiency Computer science; control theory; systems Control theory. Systems Cooling Cost function Demand Energy Energy. Thermal use of fuels Exact sciences and technology Graphs Heating, air conditioning and ventilation Information technology Informationsteknik Modelling and identification Optimal control Optimization Prediction algorithms Predictive control Predictive models Reglerteknik Solar cooling Solar energy Solar radiation Studies switched systems Switches Systems engineering Systemteknik TECHNOLOGY TEKNIKVETENSKAP Testing Air conditioning Multimodel control Cooling Switching function Air conditioning equipment Operating mode solar cooling Minimization Optimization Reachability Hybrid system Energy source Hybrid configuration graphs switched systems Optimal control Solar energy Solar radiation Predictive control Mathematical programming
ISSN:	1063-6536, 1558-0865, 1558-0865
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Popis
Shrnutí:	This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant. The process considered is a hybrid system of variable configuration subject to disturbances in its main energy source, namely solar radiation. The predictive algorithm switches between the operating modes of the plant on the basis of minimizing the performance cost function associated to each operating mode and the switching cost function associated to the transition between operating modes. The cost functions depend on the predicted states of the plant. A transition graph is used to reduce the computational cost of the optimization problem; the graph is plotted using the concept of reachability. The main objective of the predictive algorithm is to find the optimal solution to the configuration problem and the optimal control signal of the plant throughout the day. Experimental results show that solar energy was used during most of the test and cooling demand was satisfied.
Bibliografia:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 content type line 23
ISSN:	1063-6536 1558-0865 1558-0865
DOI:	10.1109/TCST.2009.2033121