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基于模糊神经网络的室内照度控制系统的研究
引用本文:李怀,陈一飞. 基于模糊神经网络的室内照度控制系统的研究[J]. 建筑电气, 2008, 27(7)
作者姓名:李怀  陈一飞
作者单位:中国农业大学信息与电气工程学院,北京市,100083;中国农业大学信息与电气工程学院,北京市,100083
摘    要:阐述了一种以室内视觉舒适度为控制目标,含室内遮阳百叶帘及人工照明补光的室内照度智能控制系统。该智能控制系统基于对百叶帘旋转角度与室内照度的耦合关系,采用模糊神经网络技术来智能调节百叶帘遮阳角度,及进行补光控制。给出了系统构成及实现方法,并对控制性能进行了讨论。

关 键 词:遮阳角度  视觉舒适度  照度  模糊神经网络

Research on Indoor Illuminance Control System Based on Fuzzy Neural Network
Li Huai,Chen Yifei. Research on Indoor Illuminance Control System Based on Fuzzy Neural Network[J]. Building Electricity, 2008, 27(7)
Authors:Li Huai  Chen Yifei
Abstract:Aimed at the control object of indoor visual comfort, indoor illuminance intelligent control system including indoor shutter curtain and artificial illumination supplement is expounded. Based on the coupling relation between the rotation angle of the curtain and the indoor illuminance, the intelligent control system is presented, which adopts fuzzy neural network technique to adjust shading angle of the curtain and control supplemental lighting. The system composition and implementation approach are given and the control performance is discussed.
Keywords:Shading angle Visual comfort Illuminance Fuzzy neural network
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