Innovation science and technologiy 1-tom 12-san (2025)
INTELLIGENT SYSTEM FOR MONITORING AND MANAGEMENT OF THE VEGETABLE OIL REFINING PROCESS
Ortiqov, Elbek
Annotaciya
This article examines the development and implementation of a system for optimal management of the multistagetechnological process of refining vegetable oils based on predictive models and virtual quality analyzers. It hasbeen shown that traditional automatic control systems, based primarily on PID regulation, do not provide the requiredlevel of quality and energy efficiency under conditions of uncertainty in parameters, nonlinearity, and multidimensionalityof the control object. An approach to building an improved management system using Model Predictive Control (MPC)methods and virtual analyzers that provide an operational assessment of product quality indicators in real-time has beenproposed. The results of modeling and pilot production tests, confirming the increase in the stability of the technologicalregime, the quality of the final product, and the reduction of specific energy costs, are presented.
vegetable oil refining, optimal management, MPC, forecasting model, virtual analyzer, automation, product quality
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.