Paper Title:
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.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
928-933
DOI
10.4028/www.scientific.net/KEM.467-469.928
Citation
J. J. Li, B. Wang, X. Y. Guo, L. L. Sun, "Predictive Control of the VAV System Based on Recurrent Wavelet Neural Network", Key Engineering Materials, Vols. 467-469, pp. 928-933, 2011
Online since
February 2011
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Price
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