Venetian Blind Control System Based on Fuzzy Neural Network for Indoor Daylighting

For the indoor daylighting need, venetian blinds are a key element in the passive control of building's vision environment. They help to control glare, daylighting, and overheating, all of which affect both the comfort of occupants and a building's energy saving. Especially, for the indoor shading and daylighting requirement, the smart control system, which has both function of adjusting the venetian blind position intellectively and indoor lighting control automatically, is built depending on fuzzy neural network in this paper. The venetia blind angle feedback control technology is also used in this system for the blind position self-adaptive control., and in addition, the relation model between the venetian blind shading angle and the visibility for occupants is established as well as fuzzy neural network model for calculating venetian blind operation angle. The theory arithmetic for control and main segments in this system are discussed too. The conclusion is presented that the optimal angle of venetian blind operation can be accurately controlled, and the position is changeable to sun position under condition of indoor visual comfort.

INTRODUCTION

In the building, the venetian blinds are used for the adjusting of indoor natural daylighting. According to the requirement of the comfort and energy saving, the researching of automatic control venetian blind moving to improve the indoor vision and shading environment is much more to be paid attention[1]. The representative reports are like that the blind control for the daylighting adaptive adjusting by A. Guillemin and N. Morel[2], and the researching of automatic adjusting system for indoor environment basing on integration the thermal comfort and visual comfort by A.I. Dounis, M.J. Santamouris[3], and indoor lighting control basing on the pure fuzzy logic control by Mateja Trobec Lah[4], and the combining control for shading device and electrical light saving by A.k. Athienitis [5]etc.