Özet:

Analysis of failures of gas pumping units (GPU) installed on the Urengoy-Pomary-Uzhhorod transcontinental gas pipeline showed that failures of automatic control systems of automatic gas pumping units occupy the second place (up to 40 %) of the total number of failures. It is shown that the well-known methods for monitoring the technical condition of the mechanical part of a gas pumping unit can’t be used to control the operability of automatic control systems and automatic gas control unit components. Among the well-known methods for monitoring the operability of automatic control systems of a gas pumping unit as a dynamic system, the most promising methods are those based on the analysis of its transient process (accelerating characteristic) with some typical input exposure. The theoretical justification of the developed method for monitoring the performance of the automatic control system of the gas pumping unit is presented, the diagnostic feature of which is the value of the areas of accelerating characteristics. The structure of the transfer function and its parameters were determined by the area method (Simoiu method). To implement the method in MatLab, software was developed that allows one to determine the parameters of the transfer function from the experimental start-up curve of the gas pumping unit and the size of the area limited by its transient function.The technique of experimental studies of the proposed method for monitoring the efficiency of the automatic control system of a gas pumping unit type GTK-25i example is given. Further implementation of the proposed method requires determining the conditions of its operability and parallel monitoring of the technical condition of the mechanical units of the gas pumping unit in order to exclude their influence on the result of monitoring the state of the automatic control unit of the gas pumping unit Author Biographies Mykhailo Gorbiychuk, Ivano-Frankivsk National Technical University of Oil and Gas Karpatska str., 15, Ivano-Frankivsk, Ukraine, 76019 Doctor of Technical Sciences, Professor Department of Computer Systems and Networks

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