MULTI AGENT INTELLIGENT CONTROL OF CENTRALIZED HVAC SYSTEMS

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 agent-based 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.