Title :
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
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.579
