Intelligent Coordinator of Fuzzy Controller-Agents for Indoor Environment Control in Buildings Using 3-D Fuzzy Comfort Set

In this paper, we develop an intelligent coordinator (IC) of fuzzy controller-agents (FCAs) for indoor environmental conditions control in buildings using a 3-D fuzzy comfort concept as an information granule. The proposed intelligent coordination model has hierarchical structure. This centralized coordinator consists of two subsystems the master and slave agents. These subsystems are implemented by fuzzy logic rules. The master agent evaluates the energy efficiency of the building and comfort and the fuzzy inference mechanism produces signals that activate slave agent and change the set points of the controllers. The slave agent is a fuzzy negotiation machine (FNM), which compensates the interaction of the FCAs and manages to avoid conflicts between them. The FCAs are activated when some conditions determined by the slave agent are satisfied, otherwise they stay inactive. Finally, the applicability of the suggested system is demonstrated via TRNSYS-MATLAB computer simulation.