摘要
中央空调作为广泛使用的高能耗系统,其节能问题受普遍关注。针对传统的定流量方法存在的问题,本文提出采用改进的负荷随动跟踪方法,实时监测中央空调的负荷,并由计算机控制水泵电机,降低主机能耗。利用模糊神经网络理论,建立符合随动跟踪的模型,并利用实际数据进行系统仿真。仿真结果表明,此方法提高中央空调的工作效率,实现良好的节能效果。
As a high energy-consumption system in widespread application,the energy-saving problem of central air-conditioning system is an important problem to be paid much attention.Considering the shortcoming of the traditional fixed-flow method,an improved method of load servo tracking is proposed.In order to decrease the energy-consumption of central air-conditioning system,this paper proposes an improved method to monitor the load of ccntral air-conditioning system and control the pump motor by a computer.Tracking servo system model based on fuzzy-neural network theory is established,and the improved model is simulated by practical datum.Simulation results show that the central air-conditioning system increases the system efficient,and decreases energy-consumption.
出处
《计算机与现代化》
2011年第4期131-134,138,共5页
Computer and Modernization
关键词
模糊神经网络
中央空调
负荷随动跟踪
fuzzy-neural network
central air-conditioning controlling system
tracking servo system
