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Invariant Algorithms of Multiple Regression for Optimal Control of Electric Drive Technological Installations

The theoretical aspects of the development of an invariant control system for high-power automated electric drives of oil and gas pipeline facilities are considered. A generalized mathematical model of the compression process is proposed, depending on the production, structural and climatic parametric disturbances on the electric drive. The results of the synthesis and analysis of invariant control systems for changing the parameters of the main factors of technological processes are presented. Using a concrete example of a compressor station of a main gas pipeline, the possibilities of stable operation of electric drives with multiple regression algorithms that provide resistan-ce to external influences and transition to low-population technologies for servic-ing electric drive units are justified.