CRUDE OIL DISTILLATION COLUMN MULTIVARIABLE MODELS SET FOR ROBUST CONTROL SYSTEMS DESIGN

Classical automatic control systems of crude oil distillation columns are used to stabilize indi-rect parameters (temperature, pressure, level) which are considered as independent. Such systems can be used in case of small disturbances and fluctuation of oil composition. The article de-scribes the set of linear mathematical dynamical models of multi-component crude oil atmospher-ic distillation column K-2 which is based on direct parameters of material balance. For devel-opment of modern multivariable automatic control systems it’s preferable to use direct material balance parameters because change of products flow ratios leads to economical loses. Devel-oped models shows that the plant is significantly multivariable with big lag, so effective auto-matic control system can be designed only with use of modern control theory. The developed set of models can be used for research of robustness and quality of multivariable automatic control systems (optimal, suboptimal, model-predictive, etc) of crude oil distillations columns which ori-ented on material balance parameters.