The rotary furnace model based predictive control

Abstract

Process control is one of the principal approaches to increase process quality and performance. Model based control system is based on real time mathematical model, which can be used at individual levels of the process hierarchy in the on line real time control system. The model is used for interpretation, planning, and execution of the tasks through the autonomous controllers. For the outlining tasks, a human operator controls a simulation model to generate a sequential list of desired sub-goals. The human operator is specifying controller's set-points and allowing the autonomous control capabilities of the furnace to coordinate the actual trajectory between set-points. Provision is made to preview the proposed trajectory for approval or modification before execution. Developed model is used for the support of direct and supervisory control. On the basic control level the model is used for process monitoring and process prediction. Supervisory level model is used for process planning, and execution of the task segments through the autonomous controllers. The autonomous control capabilities of the furnace are used to coordinate the actual trajectory between set-points. The rotary furnace predictive control, model was used on the direct and supervisory control level. Basic control level include process monitoring and process prediction.