Applications of min-max generalized predictive control to sintering processes

摘要

This paper presents applications of min-max generalized predictive control (MMGPC) to burnthrough point control in industrial sintering processes. A simple model is used as a plant model for the burnthrough point control. It is derived for a complicated sintering process system by introducing events into a continuous variable system. As a control algoithm, the MMGPC is used. It is robust to disturbances and has guaranteed stability. Simulations of the burnthrough point control using the MMGPC are performed using a derived POSCO (Pohang Steel Company, Korea) sintering plant model and real burnthrough time data of sinter packages. The simulation results of the MMGPC are compared with those of PiD control and are satisfactory.