HVAC Control via Hybrid Intelligent Systems
نویسندگان
چکیده
A new hybrid intelligent system is proposed for Heating, Ventilation and Air Conditioning (HVAC) control by integration of Multiagent System (MAS), Dynamic Ontology (DO) and Ant Colony Optimization (ACO). The relevant combination between data driven and knowledge driven methods results in significant improvement of all behavioral indexes of HVAC control system – speed, stability, internal communication rate, robust according uncertainty and disturbances. Hybrid MAS/DO system is realized by developing Java-based software according FIPA specifications. Simulation results for simplified HVAC system are reported in order to demonstrate quantitatively the effect of hybridization.
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