Ai. Dounis et al., COMPARISON OF CONVENTIONAL AND FUZZY CONTROL OF INDOOR AIR-QUALITY INBUILDINGS, Journal of intelligent & fuzzy systems, 4(2), 1996, pp. 131-140
Citations number
18
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Artificial Intelligence
This article compares various techniques for the control of indoor air
quality in a naturally ventilated building: ON-OFF, proportional-inre
gral-derivative (PID), proportional-integral with deadband (PIdb), and
fuzzy control. The control system for the fuzzy controllers is a typi
cal 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, an
d the other using Gupta's multivariable structure. The results show th
at the fuzzy controllers and the PIdb controller are much more suitabl
e than the PID or the ON-OFF controllers. The number of cycles of the
controlled parameter (i.e., the window opening fluctuations) is actual
ly much smaller. Minor differences between the two fuzzy controllers a
re observed. (C) 1996 John Wiley and Sons, Inc.