Title :
Design of fuzzy controller for air-conditioning systems based-on semi-tensor product
Author :
Xiao-hui Hua ; Pei-yong Duan ; Hong-li Lv ; Zhao-sheng Zhang ; Xiu-wen Yang ; Chun-jun Zhang
Author_Institution :
Shandong Province Key Lab. of Intell. Building, Shandong Jianzhu Univ., Jinan, China
fDate :
May 31 2014-June 2 2014
Abstract :
A novel air-conditioning fuzzy controller based-on semi-tensor product (STP) is applied into a thermal comfort control system, according to difficulty for air conditioning to control indoor thermal comfort. Through STP of matrices, the measured sampling data of indoor temperature and humidity are used to obtain a matrix-based fuzzy relation structure model. Instead of the complex process of logical reasoning and fuzzy rule sets, the matrix algebraic form is constructed directly and the design of air-conditioning comfort control systems based-on indoor temperature and humidity is realized. Then this air-conditioning fuzzy controller is applied into an indoor thermal comfort control system. Experiments and simulation results shown that this air-conditioning fuzzy controller can work well with following indoor thermal comfort. This fuzzy controller based-on fuzzy relation matrix is particularly suitable to non-decomposable multi-output nonlinear systems.
Keywords :
air conditioning; control system synthesis; fuzzy control; humidity control; matrix algebra; temperature control; tensors; STP; air-conditioning systems; fuzzy controller design; fuzzy relation matrix; indoor humidity; indoor temperature; indoor thermal comfort control; matrix algebraic form; semitensor product; thermal comfort control system; Atmospheric modeling; Control systems; Educational institutions; Electronic mail; Humidity; Matrices; Temperature measurement; Fuzzy relation matrix; PMV Index; Semi-tensor product; Thermal comfort control;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852786