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
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