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Application of Fuzzy Logic and Neural Networks Methods for Industry Automation of Technological Processes in Oil and Gas Engineering

The paper examines the features of various approaches to the construction of automatic control systems for technological objects in the production and transportation of oil. An analytical description of automation and telemechanization objects based on system parameters is given. The main characteristics of the considered technological processes are considered, and the most important factors for effective systems of automatic data objects are highlighted. Identification models of the considered system are investigated. It is concluded that it is necessary to use neuro-fuzzy and fuzzy controllers with discrete terms to control nonlinear objects.