Pashkovskyi B. Optimal process control of gas pumping in fuzzy conditions

The thesis is devoted to the development of a method for optimizing the process of natural gas compromise in conditions of uncertainty from considering the technical state of the gas compressor unit, as well as the development of information and software as part of the automated control system for gas compressor units. Based on the analysis of the structure of the process of identifying the technical state of gas-pumping aggregates and data of the technological process of natural gas compromise, statistical processing of information, paired comparisons, and the construction of a universal fuzzy approximator, a method has been developed to optimize the process of natural gas compromising in conditions of uncertainty, taking into account the technical state of gas pumping units. The problem of optimal control of compressor station operation is formulated and solved, which includes in its structure, the optimality criterion and limitations on technological parameters, which allowed determining the number of compressors in the group of parallel units and rotor speed of each centrifugal supercharger of natural gas. An automated block for optimizing the process of compressing natural gas to the gas compressor station as part of an automated control system was developed and implemented. The synthesized software for optimizing the process of compressing the natural gas of GPA, which allows, considering the technical state of the gas compressor unit, to optimally distribute the load between parallel units.