Research on the temperature control algorithm of VAV air conditioning system

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.