Predictive Control of the VAV System Based on Recurrent Wavelet Neural Network

2011 ◽  
Vol 467-469 ◽  
pp. 928-933
Author(s):  
Jie Jia Li ◽  
Ben Wang ◽  
Xiao Yan Guo ◽  
Lu Lu Sun
Keyword(s):  
Neural Network ◽  
Predictive Control ◽  
Bp Neural Network ◽  
Control Method ◽  
Time Lapse ◽  
Wavelet Neural Network ◽  
Control Precision ◽  
Air Volume ◽  
Air Supply ◽  
High Control

An air supply control method of VAV system based on BP neural network is proposed in this paper, which combines with the recurrent wavelet neural network model, predictive control and optimization of parameters. With the proposed method, the air volume of the VAV system can be controlled accurately even if the change of the air is nonlinear and time-lapse. Compared with tradition control method, it has the advantages of rapidly converging, high control precision, strong skills of learning and wide application prospect.

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