Multi agent intelligent control of centralized HVAC systems
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2006-01-01
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Abstract
The perspective of Multi Agent Systems (MAS) implementation in thermal control of centralized HVAC systems is considered. MAS are implemented in all functional levels of hierarchical HVAC control system: estimation of representative control variables by agent based softsensing, evaluation of Predicted Mean Vote (PMV) index using intelligent agents, local control applying agentbased Ant Colony Optimization (ACO). A non-square control problem of realization comfort is solved via ACO. Software agents are realized into the framework of JADE - plathform in JAVA. Simulation results are presented for single input-two output (SITO) control system. Copyright © 2006 IFAC.