Paper Title:
The Modeling and Simulation of VAV System Based on BP Neural Network
  Abstract

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)
Chapter
Chapter 1: Sustainable Utilization of Building Energy and Resources
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, Q. C. Ren, J. Q. Yu, "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
$32.00
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