摘要
针对变频空调常规模糊控制系统的隶属函数和控制规则的获取受限于专家经验的问题,根据神经网络自学习能力强的特点,将模糊控制与神经网络相结合,对空调的控制系统进行改进,并据此设计模糊神经网络控制器,在此基础上进行了理论分析和模拟实验,验证了这一控制系统的有效性。
The control rules and subordinate functions of regular fuzzy variable frequency air-conditioning control system are based on expert＇s experiences beforehand. The writer wants to improve the quality of the air-conditioning control system by combining fuzzy control and neural networks according to the high ability of self-study of artificial neural networks. The FNNC （fuzzy neural network controller） is designed and is used in air-conditioning control system. The results of simulation prove the validity and feasibility of the control method.
出处
《微计算机信息》
2010年第31期18-19,3,共3页
Control & Automation
关键词
模糊控制
神经网络
变频空调
控制系统
fuzzy control
neural networks
variable frequency air-conditioner
control system
