Abstract:Using Fangjiashan nuclear power of the high-pressure heater project in Fuqing as research object，a method to rectify the parameter regulation of high-pressure heater water control regulator is described first; then， the advanced RBF neural network is used to optimize it. Finally， the setting parameter is adopted to have disturbation test on the three conditions of heater， testifying the control characteristics of the controller in different conditions and all the requirements are met.