THE SYNTHESIS OF ALGORITHMS FOR INTELLIGENT CONTROL OF GAS-COMPRESSOR UNIT TO ENSURE THE REQUIRED QUALITY
The article considers the solution of the problem of designing the automatic control system of gas pumping unit (CGU) with the given quality indicators. The main difficulty is the presence of internal nonlinear relationships and interdependence of subsystems in the unit. Depending on the functional purpose and mode of operation of the CGU requirements for each subsystem may vary. For the considered mode, the synthesis of the controller parameters is carried out separately, and further developed controllers are aggregated into a single logical controller. In solving this problem, the description of a complex system through the characteristics of subsystems and multidimensional elements of communication between them is used. As an individual characteristic of a separate subsystem, its transfer function is considered in the control mode, when the subsystem operates in an isolated condition from other subsystems. The constructed mathematical models of CGU are complex for analysis and synthesis, in this regard, the design uses data mining methods. Synthesis of the CGU controller with the specified quality indicators is carried out using neuro-fuzzy modeling, on the basis of which the fuzzy inference systems are formed. The efficiency of the described CGU synthesis algorithm is demonstrated by a specific example.