Comparison of Conventional and Fuzzy Control of Indoor Air Quality in Buildings

Article type: Research Article

Authors: Dounis, A.I. | Bruant, M. | Santamouris, M. | Guarracino, G. | Michel, P.

Affiliations: Department of Automation, Technical Education Institute of Piraeus (TEI), Sp. Davari 18, Koropi 19400, Greece | Laboratoire des Sciences de l'Habitat-DGCB ENTPE, 2 rue Maurice Audin, 69518 Vaulx en Velin Cedex, France | University of Athens, Laboratory of Meteorology, Ippokratous 33, 10680 Athens, Greece

Abstract: This article compares various techniques for the control of indoor air quality in a naturally ventilated building: ON-OFF, proportional-integral-derivative (PID), proportional-integral with deadband (PIdb), and fuzzy control. The control system for the fuzzy controllers is a typical two input (carbon dioxide concentration and its time derivative), one output (change in window opening area) system. Two different fuzzy controllers are modeled: one based on Mamdani's max-min inference, and the other using Gupta's multivariable structure. The results show that the fuzzy controllers and the Pldb controller are much more suitable than the PID or the ON-OFF controllers. The number of cycles of the controlled parameter (i.e., the window opening fluctuations) is actually much smaller. Minor differences between the two fuzzy controllers are observed.

DOI: 10.3233/IFS-1996-4205

Journal: Journal of Intelligent and Fuzzy Systems, vol. 4, no. 2, pp. 131-140, 1996