Fuzzy Control System of Product Quality Indicators of Primary Oil Refining
The results of the development and simulation of control system of quality indicators of the fractions produced in the atmospheric setting unit of primary oil refining are presented. Artificial intelligence techniques, including neural networks and fuzzy logic were used in its development.