DocumentCode :
2669668
Title :
Indoor dynamic lightingcontrolsystem forafull-scale private office
Author :
Yi-Fei Chen ; Hui Li ; Huai Li
Author_Institution :
Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1691
Lastpage :
1695
Abstract :
In this paper, a dynamic lighting control system for balancing light and shade in a full-scale private office is discussed. This system was developed to control the amount of indoor light by automatically adjusting the blinds and artificial lighting. Compared with previous work, the innovation of this system is the application of a fuzzy neural network and the feedback control of blinds turning. The fuzzy neural network is used to forecast the venetian blind turning angle. The angle feedback control is used to achieve the blind position with self-adaptive adjusting. The system was tested and verified in three different types of weather. The conclusion presented that the optimal angle of venetian blind operation and providing indoor visual comfort can be effectively controlled.
Keywords :
feedback; fuzzy control; lighting control; neurocontrollers; self-adjusting systems; artificial lighting; blind position; blinds turning feedback control; full-scale private office; fuzzy neural network; indoor dynamic lighting control system; self-adaptive adjusting; venetian blind operation optimal angle; Control systems; Fuzzy control; Fuzzy neural networks; Lighting; Mathematical model; Turning; Visualization; angle of Venetian blind; feedback control; fuzzy neural network; visual comfort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6244270
Filename :
6244270
Link To Document :
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