Abstract
The article describes the task of optimizing the process of sulfuric acid alkylation as part of a group of plants for the production of alkyl benzine. The main methods and approaches to solving this problem from the point of view of real-time optimization (RTO) are presented. A modified method is proposed in the form of a multi-model approach and decomposition of the original optimization problem into local ones with a sequential solution. To test the method, an analytical model of the sulfuric acid alkylation process was used, its evaluation was carried out and the problem of maximizing alkyl benzine was solved using the Hook – Jeeves algorithm in Matlab. The results of the solution were compared with the real historical data of the process and confirmed the operability of the solution.
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