Research On The Application Of Grey Generalized Prediction Control In The Industrial Boiler Automation Control System

Combustion system for industrial boiler is a complicated time-varying and dynamic process, with obvious non-linearity, tight coupling, long time lags and strong interference. So it is hard to achieve ideal control performance and higher rate of automatic operation with conventional control arithmetic. Generalized predictive control(GPC) method, generalized predictive control with proportion and integration structure(PIGPC) method and grey generalized predictive control (GGPC) method are used in this paper to control the water level and combustion system. The performance of this new control system is analyzed in this paper and the simulation results show that this new control method has better robustness, quick tracking and good resistant disturbances. So based on these advanced control methods, the industrial boiler control system introduced in this paper can get good regulation quality, enhance combustion efficiency and realize energy-saving, which not only has value on academic study but also has remarkable economic benefit and social benefit.