Fuzzy-based self-organizing control for building systems

Author

Brackney, L. ; Shoureshi, R.

Author_Institution

Sch. of Mech. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

3

fYear

1994

fDate

29 June-1 July 1994

Firstpage

3060

Abstract

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.

Keywords

building management systems; fuzzy control; fuzzy set theory; intelligent control; lighting control; office automation; self-adjusting systems; temperature control; building dynamics; building management system; coordinator; fuzzy set theory; intelligent control; lighting control; office building; self-organizing control; supervisor; temperature control; three-level hierarchical controller; utility cost; zone occupancy; Adaptive control; Buildings; Control systems; Costs; Fuzzy set theory; Fuzzy sets; Intelligent control; Lighting control; Programmable control; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1994

Print_ISBN

0-7803-1783-1

Type

conf

DOI

10.1109/ACC.1994.735133

Filename

735133