GA in Optimized Control of Central Air-conditioning System Based on ANN Simulation

Author

Zhao Xian-Mei ; Li Hao-Yan ; Zhang Jin

Author_Institution

Guangdong Polytech. Normal Univ., Guangzhou

Volume

3

fYear

2007

fDate

July 30 2007-Aug. 1 2007

Firstpage

617

Lastpage

622

Abstract

An ANN (artificial neural network) is used to model the characteristics of the central air-conditioning system, while a global search routine GA (genetic algorithm) is used for global optimized control. This paper describes the integration of ANN and GA used in a central air-conditioning system. Several different optimized control strategies based on GA and ANN simulation were compared with the normalized control strategy. An advanced control scheme was achieved.

Keywords

air conditioning; genetic algorithms; neurocontrollers; optimal control; artificial neural network; central air-conditioning system; genetic algorithm; global optimized control; Artificial neural networks; Central air conditioning; Centralized control; Control system synthesis; Control systems; Energy consumption; Moisture control; Poles and towers; Software engineering; Temperature control; ANN; Central air-conditioning system; GA; Optimized control;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on

Conference_Location

Qingdao

Print_ISBN

978-0-7695-2909-7

Type

conf

DOI

10.1109/SNPD.2007.579

Filename

4287926