The Modeling and Simulation of VAV System Based on BP Neural Network

Abstract:

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VAV (variable air volume) system is a kind of all-air air conditioning system that adjusts indoor temperature by adjusting the supply air volume. This paper builds the mathematical model of supply air temperature of VAV using the step response method, and simulates the model with pure time delay according to PID parameters tuning based on BP (back propagation) neural network, and compares the simulation results with that based on traditional PID, which shows the control effect is superior to traditional PID.

Info:

Periodical:

Advanced Materials Research (Volumes 374-377)

Edited by:

Hui Li, Yan Feng Liu, Ming Guo, Rui Zhang and Jing Du

Pages:

109-112

DOI:

10.4028/www.scientific.net/AMR.374-377.109

Citation:

Z. X. Feng et al., "The Modeling and Simulation of VAV System Based on BP Neural Network", Advanced Materials Research, Vols. 374-377, pp. 109-112, 2012

Online since:

October 2011

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Price:

$35.00

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