Steam Temperature Prediction Control for Thermal Power Plant

An advanced control method using a microprocessor is developed for boiler steam temperature control of thermal power plants. A process dynamics model with the Kalman filter in the controller is presented which describes the dynamic plant behavior. Using the model, future changes in steam temperature are predicted and the fuel flow rate compensated accordingly. The model is also used to adjust the control parameters, i.e. proportional and integral gains, to provide values which ensure stable system control.