Research on the Temperature Control Algorithm of VAV Air Conditioning System

Jin Zhou Yan; Nian Ping Jiang

doi:10.4028/www.scientific.net/AMM.401-403.1247

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Research on the Temperature Control Algorithm of...

Research on the Temperature Control Algorithm of VAV Air Conditioning System

Abstract:

This paper has proposed a new control algorithm based on wavelet neural network to control the Variable air volume Air Conditioning System with features of nonlinear and large lag. Using the wavelet neural network to predict the output variables online, and using the fuzzy RBF neural network as the controller to robust control the uncertainties of system parameters. Simulation results show that the algorithm proposed has good local predict ability for the nonlinear system, which is in full agreement with the mode. And it shows strong robustness and adaptability using the fuzzy RBF neural network to control the model gap in the running process of system.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1247-1250

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1247

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Online since:

September 2013

Authors:

Jin Zhou Yan, Nian Ping Jiang

Keywords:

Air Volume Air Conditioning, BP Neural Network (BPNN), Wavelet Neural Network Predictor

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References

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