计算机与现代化 ›› 2011, Vol. 1 ›› Issue (4): 131-134,.doi: 10.3969/j.issn.1006-2475.2011.04.037

• 应用与开发 • 上一篇    下一篇

模糊神经网络控制在中央空调中的研究

邓劲梅   

  1. 东华大学信息科学与技术学院,上海 201620
  • 收稿日期:2010-11-26 修回日期:1900-01-01 出版日期:2011-04-27 发布日期:2011-04-27

Research on FNN Controlling in Central Air-conditioning System

DENG Jin-mei   

  1. College of Information Sciences and Technology, Donghua University, Shanghai 201620, China
  • Received:2010-11-26 Revised:1900-01-01 Online:2011-04-27 Published:2011-04-27

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。

关键词: 模糊神经网络, 中央空调, 负荷随动跟踪

Abstract: 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.

Key words: fuzzy-neural network, central air-conditioning controlling system, tracking servo system

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