空调系统神经模糊控制器—结构和算法  

Neural Fuzzy Controller of Air Conditioning System-structure and Algorithm

作　　者：谭良才 陈沛霖[2] 

机构地区：[1]内华达州立大学拉斯维加斯分校,usa89154 [2]同济大学,上海200092

出　　处：《制冷空调与电力机械》2007年第1期1-6,共6页Refrigeration Air Conditioning & Electric Power Machinery

摘　　要：提出了一种适用于空调系统控制的新型神经模糊控制器。这种神经模糊控制器将神经网络和模糊控制紧密结合,是一种以神经网络表示模糊控制规则的模糊控制系统,控制推理基于模糊推理的精确值法,神经网络采用后向传播(BP)学习算法。本文论述这种神经模糊控制器的结构和算法,其仿真和优化将另文论述。A new intelligence controller, that is, the neural fuzzy controller, is proposed. It combines the neural network and fuzzy control, and is essentially a fuzzy control system in which the fuzzy control rule was expressed by neural network,the control inference is based on the precise value method of fuzzy inference and the backpropagation algorithm was used for the neural network. The neural fuzzy controller can be applied in the precise control of air conditioning systems. Its structure and algorithm were introduced in this paper. The simulation and optimization of the neural fuzzy controller will be depicted in a sister paper.

关 键 词：神经网络 模糊控制 精确值法 空调系统 神经模糊控制器 

分 类 号：TU831.4[建筑科学—供热、供燃气、通风及空调工程]