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

Zeng Xi Feng; Qing Chang Ren; Jun Qi Yu

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 374-377The Modeling and Simulation of VAV System Based on...

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.

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Periodical:

Advanced Materials Research (Volumes 374-377)

Pages:

109-112

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.374-377.109

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Online since:

October 2011

Authors:

Zeng Xi Feng, Qing Chang Ren, Jun Qi Yu

Keywords:

BP Neural Network (BPNN), Simulation, Variable Air Volume

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References

[1] Y Zhang, Q.Ch Ren and H. Xiang, Modeling and control research of supply air temperature control systems in VAV air conditioning unit, Heating Ventilating and Air Conditioning, Vol. 37, Oct. 2007, p.125. (In Chinese)

DOI: 10.1007/0-387-30633-1_9

Google Scholar

[2] W.W. Liu, A neural network evaluation model for individual thermal comfort, Energy and Buildings, Vol. 39, Oct. 2007, p.1115. (In Chinese)

Google Scholar

[3] Z.X. Feng, Q.CH. Ren, and J.Q. Yu, The Optimum Start-up of Central Air-conditioning Based on Neural Network, 2010 3rd IEEE International Conference on Computer Science and Information Technology, 2010.7, p.273.

DOI: 10.1109/iccsit.2010.5564470

Google Scholar

[4] J.K. Liu: The Matlab Simulation of Advanced PID Control, Publishing House of Electronics Industry, Beijing 2005.

Google Scholar