Abstract
Aiming at the characteristics which variable air volume air conditioning system is multi-variable, nonlinear and uncertain, we put forward a recursive wavelet neural network predictive control strategy. Through recursive wavelet neural network predictor on line established controlled object’s mathematical model, and using RBF neural network controller on line corrected information we get, thus to improve control effect. The simulation results show that recursive wavelet neural network predictive control has stronger robustness and adaptive ability, high control precision, better and reliable control effect and other advantages.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Li, J., Qu, R., Li, Y. (2012). Research on Control Strategy of VAV Air Conditioning System. In: Jin, D., Lin, S. (eds) Advances in Future Computer and Control Systems. Advances in Intelligent and Soft Computing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29390-0_3
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DOI: https://doi.org/10.1007/978-3-642-29390-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29389-4
Online ISBN: 978-3-642-29390-0
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