节点文献
一种温度控制系统的模糊神经网络控制方法研究
The Research on Communication Base Station’s Air-conditioner System Fuzzy Neural Network Control
【摘要】 针对无法取得精确数学模型的温度控制系统的节能控制问题,提出一种温度控制的模糊神经网络控制器,通过智能控制空调设置温度的方式实现节能.以通信基站为例,通过仿真实验,表明采用提出的控制策略可以克服不确定性的影响,系统具有更好的鲁棒性和自适应能力.这种方法可用于相似温度控制环境下的节能.
【Abstract】 Based on the problem that it’s impossible to get the exact mathematical model,a kind of air conditioner Fuzzy Neural Network controller who realize energy saving by Intelligent control of temperature control system was designed.The intelligent control indicate that the effect of uncertainty can be overcome and the system has better robustness and adaptive ability.It can be controlled better by VAV air conditioner system.
【关键词】 通信基站;
空调系统;
模糊神经网络;
节能系统;
温度控制;
【Key words】 communication base station; air-conditioning system; fuzzy neural network; Energy-saving system; temperature control;
【Key words】 communication base station; air-conditioning system; fuzzy neural network; Energy-saving system; temperature control;
【基金】 山东省社会科学规划研究项目(10CJGJ47)
- 【文献出处】 德州学院学报 ,Journal of Dezhou University , 编辑部邮箱 ,2015年02期
- 【分类号】TP183;TP273
- 【被引频次】4
- 【下载频次】135