Modeling the gas balance control system in the gas transmission system as a control object

An urgent task is to study the possibility of using modern intelligent solutions to improve the efficiency of the gas industry. To solve these problems, it is advisable to consider the process of managing the gas balance as an abstract controlled object, as well as the causal relationship of the elements of the automated balance management system. To build a control object, a neuro-fuzzy model can be applied, which combines the advantages of neural networks in approximating multidimensional data and fuzzy logic for making decisions under conditions of their uncertainty. The article considers an example of building such an information model of one of the regional gas transmission networks of the Russian Federation.

Authors: A. K. Petrova

Direction: Informatics, Computer Technologies And Control

Keywords: gas balance, gas transmission network efficiency, automation, technological process, control object, neural network, fuzzy logic

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