TY - JOUR
T1 - A Two-Variable Fuzzy Control Design with Application to an Air-Conditioning System
AU - Yordanova, Snejana
AU - Merazchiev, Daniel
AU - JAIN, Lakhmi
PY - 2015/4/27
Y1 - 2015/4/27
N2 - Air-conditioning systems provide optimal conditions for work, human health, and quality of living. At the same time, they are one of the greatest household energy consumers. Therefore, the Building Energy Management System sets high demands on their control, aiming to reduce energy consumption while ensuring indoor comfort. The classic control technique cannot satisfactorily deal with the energy-efficient stabilization of basic interacting microclimate parameters. The fuzzy logic approach offers intelligent means for the stabilization of the coupled temperature, humidity, and fresh air supply with low energy requirements. The aim of this study is to develop a model-free design method for a two-variable PI fuzzy controller for temperature and humidity control that ensures indoor comfort and reduces energy consumption by supervisory fuzzy tuning.
AB - Air-conditioning systems provide optimal conditions for work, human health, and quality of living. At the same time, they are one of the greatest household energy consumers. Therefore, the Building Energy Management System sets high demands on their control, aiming to reduce energy consumption while ensuring indoor comfort. The classic control technique cannot satisfactorily deal with the energy-efficient stabilization of basic interacting microclimate parameters. The fuzzy logic approach offers intelligent means for the stabilization of the coupled temperature, humidity, and fresh air supply with low energy requirements. The aim of this study is to develop a model-free design method for a two-variable PI fuzzy controller for temperature and humidity control that ensures indoor comfort and reduces energy consumption by supervisory fuzzy tuning.
KW - Energy efficiency
KW - MATLAB
KW - Real-time implementation
KW - Supervisory tuning
KW - Terms-Air-conditioning system
KW - Two-variable fuzzy control
KW - real-time implementation
KW - energy efficiency
KW - supervisory tuning
KW - Air-conditioning system
KW - two-variable fuzzy control
UR - http://www.scopus.com/inward/record.url?scp=84926488055&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/twovariable-fuzzy-control-design-application-airconditioning-system
U2 - 10.1109/TFUZZ.2014.2312979
DO - 10.1109/TFUZZ.2014.2312979
M3 - Article
SN - 1063-6706
VL - 23
SP - 474
EP - 481
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
IS - 2
M1 - 6776450
ER -
