Fuzzy-based self-organizing control for building systems

A self-organizing controller based on fuzzy set theory is applied to the problem of building temperature and lighting control. A three-level hierarchical controller composed of supervisor, coordinator, and local levels is employed. The intelligent control structure is designed to maximize occupant comfort while minimizing energy usage. Fuzzy sets representing zone occupancy, utility cost, and building dynamics are used as inputs to an adaptive fuzzy relation algorithm which generates local controller setpoints. Implementation of the controller in an office building is discussed.