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.