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The Fuzzy Logic in the Problems of Test Control of a Bypass Turbojet Engine Gas Generator

Author

Listed:
  • Alexander Inozemtsev

    (UEC-Aviadvigatel, 614990 Perm, Russia)

  • Anton Petrochenkov

    (Department of Microprocessor Automation Means, Electrical Engineering Faculty, Perm National Research Polytechnic University, 614990 Perm, Russia)

  • Vladimir Kazantsev

    (Department of Microprocessor Automation Means, Electrical Engineering Faculty, Perm National Research Polytechnic University, 614990 Perm, Russia)

  • Igor Shmidt

    (Department of Microprocessor Automation Means, Electrical Engineering Faculty, Perm National Research Polytechnic University, 614990 Perm, Russia)

  • Alexey Sazhenkov

    (UEC-Aviadvigatel, 614990 Perm, Russia)

  • Dmitry Dadenkov

    (Department of Microprocessor Automation Means, Electrical Engineering Faculty, Perm National Research Polytechnic University, 614990 Perm, Russia)

  • Igor Gribkov

    (UEC-Aviadvigatel, 614990 Perm, Russia)

  • Pavel Ivanov

    (Department of Microprocessor Automation Means, Electrical Engineering Faculty, Perm National Research Polytechnic University, 614990 Perm, Russia)

Abstract

Continuous improvement in the operational characteristics of gas turbine equipment and a significant reduction in the time of its creation have led to the development and application of new technologies for conducting research tests of a gas generator—the basic section of a bypass turbojet engine. Carrying out such tests requires the reproduction of the thermo gas dynamic parameters of the working fluid at the gas generator inlet to ensure maximum similarity to the processes occurring in the engine being designed. Obtaining a working fluid with the required thermo gas dynamic parameters such as temperature, pressure, and air flow rate is carried out on the basis of a test complex. The test complex, as a control object, is a non-linear, non-stationary, multi-variable system, where each controlled variable substantially depends on other control actions. The article presents the main aspects of the behavior of the object under consideration, which are the basis for the development of an automated test system and, in particular, the principles of forming control algorithms based on the theory of fuzzy logic. The graphs of the state and control of the main elements of the test complex are presented. Special attention is given to the analysis of the proposed control algorithms.

Suggested Citation

  • Alexander Inozemtsev & Anton Petrochenkov & Vladimir Kazantsev & Igor Shmidt & Alexey Sazhenkov & Dmitry Dadenkov & Igor Gribkov & Pavel Ivanov, 2022. "The Fuzzy Logic in the Problems of Test Control of a Bypass Turbojet Engine Gas Generator," Mathematics, MDPI, vol. 10(3), pages 1-17, February.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:3:p:484-:d:740883
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    References listed on IDEAS

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    1. Alexander Rohr & Clemens Jauch, 2021. "Software-in-the-Loop Simulation of a Gas-Engine for the Design and Testing of a Wind Turbine Emulator," Energies, MDPI, vol. 14(10), pages 1-20, May.
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    Cited by:

    1. Sagit Valeev & Natalya Kondratyeva, 2022. "Life Test Optimization for Gas Turbine Engine Based on Life Cycle Information Support and Modeling," Energies, MDPI, vol. 15(19), pages 1-15, September.
    2. Majid Aghasharifian Esfahani & Mohammadmehdi Namazi & Theoklis Nikolaidis & Soheil Jafari, 2022. "Advanced Control Algorithm for FADEC Systems in the Next Generation of Turbofan Engines to Minimize Emission Levels," Mathematics, MDPI, vol. 10(10), pages 1-15, May.
    3. Anton Petrochenkov & Nikolai Pavlov & Nikolai Bachev & Alexander Romodin & Iurii Butorin & Nikolai Kolesnikov, 2023. "Ensuring Power Balance in the Electrical Grid of an Oil-and-Gas-Producing Enterprise with Distributed Generation Using Associated Petroleum Gas," Sustainability, MDPI, vol. 15(19), pages 1-15, September.

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