Title :
Application of T-S fuzzy controllers on an HVAC system
Author :
Long Teng ; Youyi Wang ; Can Chen ; Wenjian Cai ; Hua Li
Author_Institution :
Grad. Sch., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
This paper focuses on designing fuzzy controllers for a kind of Heating, Ventilation, and Air Conditioning (HVAC) systems. A kind of fuzzy method based on T-S fuzzy models with nonlinear local feedbacks is applied to a specific HVAC system. Firstly, an augmented HVAC system model is got based on an existing model. Then control with T-S fuzzy systems with nonlinear local models is reviewed. The control gain is got by solving a set of linear matrix inequalities (LMIs) where H∞ performance is considered. Finally, simulations and comparisons are executed to illustrate the effectiveness of this kind of fuzzy methods.
Keywords :
H∞ control; HVAC; control system synthesis; feedback; fuzzy control; linear matrix inequalities; nonlinear control systems; H∞ performance; LMIs; T-S fuzzy controller design; augmented HVAC system model; heating-ventilation-and air conditioning systems; linear matrix inequalities; nonlinear local feedbacks; nonlinear local models; Fuzzy control; H∞ control; HVAC systems; T-S fuzzy models;
Conference_Titel :
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
DOI :
10.1109/ICIAFS.2014.7069545
