STRATEGY FOR PREDICTIVE CONTROL OF THE RECTIFICATION PROCESS BASED ON A MODEL CONTROLLER WITH A GIVEN FORECAST

A method is being developed to optimize the generated controls for the multicomponent distillation process with prediction, based on predictive data with a moving horizon. The difference between this method and the classical modeling approach, in which the percentage of the degree of opening of valves installed on the output streams of the column is used as control actions, is that control occurs on the feedback principle. The proposed method is based on the use of a dynamic process model to optimize control actions in real time in order to achieve certain production targets. The essence of the MPC approach (control based on a predictive model) to control is determined in the sequential execution of the following operations: using a predictive model, minimizing the quality functional, taking into account process dynamics, solving the optimal control problem, real-time control and taking into account process limitations.

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