摘要
应用模糊控制的逻辑推理性能,借助于神经网络的学习能力,提出一种基于神经网络的模糊预测控制模型。并利用该模型对VAV(变风量)空调系统的提前开机时间进行预测控制,可获得较高的预测精度和较好的控制效果。
A fuzzy neural network predictive control model is proposed by using the logic inference performance of fuzzy control and the learning ability of neural network. With this model, the advancing startup time of the VAV （ variable air volume） air conditioning system is predictively controlled. The accuracy of prediction is high and the control result is preferable.
出处
《建筑电气》
2008年第6期42-44,共3页
Building Electricity
