Abstract:The superheated steam temperature of boiler is an important indicator characterizing the features of the boiler. The quality control will directly affect security and economy of the thermal power plant boiler unit. As there are lags,large inertia,time-varying characteristics in the superheated steam temperature,the conventional PID can not achieve good control over it. So the RBF neural network-tuning PID control is introduced. Experiments show that this control method for superheated steam temperature control can get good results.