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Optimizing process parameters using predictive control

This paper presents the advantages of using multivariable predictive control in optimizing process parameters for a vacuum distillation column. The paper also exemplifies solutions for the integrated implementation of modern control methods and the ability to view and use process parameters in real time in a production management system. Characterized by a wide range of applicability, modern control methods can be found in almost all types of applications, from household equipment to industrial process control. Predictive control is an important element in current industrial process control techniques and, in order to achieve it, a justification of both performance and financial point of view is required. As an experimental part, a case study on optimizing the process parameters for a vacuum distillation column is presented. The results of the benefit study of the proposed control method are also presented.