Abstract

The object of this study is an effective approach to designing automatic control systems with a model of complex technological processes, which include interrelated and complementary stages from the formulation of the task to the implementation of the control system at the facility. It includes a set of measures, starting with the analysis of the process in its hardware design with the construction of an information and logical scheme to the development of all types of security and commissioning. The main problem in the implementation of a control system with a technological process model is the limited ranges of adequacy of mathematical models. Therefore, when changing the load on the unit, changing external and internal perturbations, it is necessary to constantly ensure the necessary level of adequacy of the models. It is proposed to use a combined model as a mathematical model of the control object, combining the advantages of analytical and experimental-statistical models. This makes it possible to significantly expand the information base of the resulting model. A simple and effective iterative algorithm for calculating this model is also proposed. It includes sequential steps to determine the parameters of the model by basic dependences (the deterministic part of the model), followed by clarifying them according to the current data from the object (experimental statistical part of the model). The effectiveness of the approach is confirmed by the example of ASC TP of the ammonia synthesis column. By improving the accuracy of determining the control parameters and narrowing the range of their change around the optimal value, the volume of ammonia release increases by 5–8 %. The application of the described approach on the example of the development of an automatic control system for the technological process of ammonia synthesis confirmed the economic feasibility of implementing the proposed solutions

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