A Data Driven Approach of Modelling and Parameter Estimation of Boiler Drum Subsystem Dynamics

A nonlinear dynamic model of the boiler drum level system is estimated from plant data. The identified models describe the dynamic behaviour of the subsystem under a given operating condition. Both linear and nonlinear models are estimated and compared for the validation of the model. The model is simulated and results are presented. The effect of load variation on the drum level changes from time to time with respect to power demand posing a challenge on drum level control. The presented model provides a dynamic model derived from real plant data which can be effectively used for the design of model based control schemes.