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

Jie Jia Li; Ben Wang; Xiao Yan Guo; Lu Lu Sun

doi:10.4028/www.scientific.net/KEM.467-469.928

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Predictive Control of the VAV System Based on...

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

Abstract:

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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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

928-933

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.928

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Online since:

February 2011

Authors:

Jie Jia Li, Ben Wang, Xiao Yan Guo, Lu Lu Sun

Keywords:

BP Neural Network (BPNN), Predictive Control, Recurrent Wavelet Neural Network (RWNN), Time Delay System, Variable Air Volume (VAV) System

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