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

Abstract:

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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 et al., "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:

$35.00

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