Advanced Boiler Control System for Steam Power Plants Using Modern Control Techniques

This paper adopts the integration of Dual-mode Model Predictive Control-MPC (Optimal Model Predictive Control-OMPC) and Generalized Predictive Control (GPC) algorithms in order to self-tune a control logic which is applied to a sophisticated boiler dynamics with non-minimum phase dynamic behaviour. The dynamic model of Steam Power Plant is divided into the following subsystems : Drum level, Primary super-heater, Secondary super-heater and turbine unit. The applied modern control algorithms are shown to achieve the desired, high quality, optimized control performance for the boiler subsystems. This is illustrated through simulation results in MATLAB/Simulink environment. The modern control techniques are also compared to the classical control algorithm such as PID control with Kalman filter observer design.