A fuzzy discrete event system control and decision making in air conditioning system

Author

Danmei, Li ; Weichun, Lan ; Hui, Zhou ; Shihuang, Shao

Author_Institution

Sch. of Inf. Sci. & Technol., Donghua Univ., Shanghai

fYear

2008

fDate

2-4 July 2008

Firstpage

3147

Lastpage

3151

Abstract

There is a trend that modern central air conditioning system become more comprehensive and large-scale. Due to the nonlinear, and uncertain nature of the air conditioning (AC) system, a fuzzy discrete event systems (FDES) is introduced, in this paper, to conduct research on it. A modeling method is proposed and a control and decision-making model has been set up for the air conditioning system. Effectiveness function is optimized and simulated by genetic algorithm from MATLAB. The simulation results show that the optimal control can be better resolved with FDES in air conditioning system.

Keywords

air conditioning; discrete event systems; fuzzy control; genetic algorithms; nonlinear control systems; uncertain systems; MATLAB; air conditioning system; decision making; discrete event system; effectiveness function optimization; fuzzy control; genetic algorithm; nonlinear system; optimal control; uncertain system; Air conditioning; Central air conditioning; Control systems; Decision making; Discrete event systems; Fuzzy control; Fuzzy systems; Genetic algorithms; Large-scale systems; Mathematical model; FDES; air conditioning control; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597906

Filename

4597906