Design and application of generalized predictive control strategy with closed-loop identification for burn-through point in sintering process

This paper presents a generalized predictive control (GPC) strategy with closed-loop model identification for burn-through point (BTP) control in the sintering process. First, the dynamic Auto-Regressive eXogenous (ARX) model structure is defined to describe sintering process. Considering the economy and security, a closed-loop identification method is adopted to update the parameters of the model. Then, BTP predictive control model is established based on GPC algorithm to predict BTP accurately and to calculate the strand velocity. Finally, a BTP control system is established and implemented in an iron and steel plant. The running results show that the system effectively guarantees the stability of sintering process and suppresses the fluctuation of BTP.

► We propose a GPC strategy with closed-loop model identification for BTP control.
► A closed-loop identification method is adopted to update the parameters of the model.
► A BTP predictive control model is established based on GPC algorithm to predict BTP.
► A BTP control system is established and implemented in an iron and steel plant.
► The running results show that the system effectively suppresses the fluctuation of BTP.