Use of additive test methods in the simulation of the methanol synthesis column for the creation of a control system from the model

The object of the study is the methodology of developing automatic control systems for one class of technological objects, namely, multi-tonnage chemical-technological productions. This class of technological objects is characterized by significant inertia, which makes them objects with difficult control. In addition, high production productivity to prevent economic losses requires ensuring the stability of the technological process without significant deviations from design norms. Based on this, the development methodology for objects of this class should be strictly consistent and theoretically grounded. The work presents an algorithm for developing the structure of the automatic control system of a large-tonnage chemical-technological facility based on its technological features. The algorithm begins with the analysis of a large-tonnage chemical-technological object as a control object. At the final stage, let’s obtain the complete structure of the control system as a self-adjusting extreme control system with an object model. The selected structure of the automatic control system, in turn, puts forward specific conditions for the type of mathematical model of the control object. The work presents an algorithm for developing a combined mathematical model, which begins with structural identification and ends with parametric identification. This mathematical model is the most suitable for use in automatic control systems for technological objects of this class. The conclusions were confirmed by many years of research on real technological objects, including, on the example of the ASK TP methanol synthesis column. The application of the described approach on the example of the development of an automatic control system for the technological process of methanol synthesis confirmed the economic feasibility of implementing the proposed solutions