Adaptive Predictive Control of Steam-Reforming Plant Using Bilinear Model

Abstract

An adaptive predictive control for steam-reforming plant which consist of a steam-gas reformer and a waste heat steam-boiler was studied by using MIMO bilinear model. ARMA model was used in the process identification and the adaptive predictive control. The simulation experiments of the process identification were performed by using linear and bilinear models. From the simulation results it was found that the bilinear model represented the dynamic behavior of a steam-reforming plant very well. To verify the performance and effectiveness of the adaptive predictive control method proposed in this study the simulation results of the adaptive predictive control based on bilinear model for steam-reforming plant were compared to those of linear model. The simulation results showed that the adaptive predictive control method based on bilinear model provides better performance than those of linear model.