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Research on the Analytical Redundancy Method for the Control System of Variable Cycle Engine

Author

Listed:
  • Xiaojie Qiu

    (AECC Aero Engine Control System Institute, Wuxi 214063, China)

  • Xiaodong Chang

    (AECC Aero Engine Control System Institute, Wuxi 214063, China)

  • Jie Chen

    (AECC Aero Engine Control System Institute, Wuxi 214063, China)

  • Baiqing Fan

    (AECC Aero Engine Control System Institute, Wuxi 214063, China)

Abstract

The safety and reliability of the measuring elements of an aero-engine are important preconditions of the stable operation of the engine control system. The number of control parameters of a variable cycle engine increases by 20%–40% compared to traditional engines. Therefore, it is important to conduct study on the analytical redundancy, design fault diagnosis and isolation of the sensors, as well as the signal reconstruction system, so as to increase the ratability and fault-tolerant capability of the variable cycle engine control system. The analytical redundancy method relies on the accuracy of the mathematical model of the engine. During the service cycle of the engine, it is inevitable that the engine performance will deteriorate, resulting in a mismatch with the model. In this paper, the adaptive model of the variable cycle engine is built with a Kalman filter. Based on this, the strategy of analytical redundancy logic is built and the dynamic adaptive calculation of the threshold is introduced. Simulation results reflect that this method can effectively increase the reliability of sensor fault diagnosis and the accuracy of the analytical redundancy when there is performance degradation of the variable cycle engine.

Suggested Citation

  • Xiaojie Qiu & Xiaodong Chang & Jie Chen & Baiqing Fan, 2022. "Research on the Analytical Redundancy Method for the Control System of Variable Cycle Engine," Sustainability, MDPI, vol. 14(10), pages 1-11, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5905-:d:814640
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    References listed on IDEAS

    as
    1. Xiaodong Chang & Jinquan Huang & Feng Lu, 2019. "Sensor Fault Tolerant Control for Aircraft Engines Using Sliding Mode Observer," Energies, MDPI, vol. 12(21), pages 1-15, October.
    2. Feng Lu & Jinquan Huang & Yiqiu Lv, 2013. "Gas Path Health Monitoring for a Turbofan Engine Based on a Nonlinear Filtering Approach," Energies, MDPI, vol. 6(1), pages 1-22, January.
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    Cited by:

    1. Zhang, Xinhai & Wang, Kang & Geng, Jia & Li, Ming & Song, Zhiping, 2024. "A fault-tolerant acceleration control strategy for turbofan engine based on multi-layer perceptron with exponential Gumbel loss," Energy, Elsevier, vol. 294(C).

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