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First-Order Linear Active Disturbance Rejection Control for Turbofan Engines

Author

Listed:
  • Hui-Yu Jin

    (School of Aerospace Engineering, Xiamen University, Xiamen 361102, China)

  • Yang Chen

    (Huawei Technologies France SASU, Xiamen 361102, China)

Abstract

Proportional-integral (PI) control is widely used in turbofan-engine control, while first-order linear active disturbance rejection control (FOLADRC) is a possible approach to update it. This paper investigates FOLADRC. In methodology, it proposes a new block diagram of FOLADRC, which shows that FOLADRC can be viewed as a PI controller, a low-pass feedback filter, and a pre-filter. The low-pass filter helps to reject high-frequency measurement noise, while the pre-filter can attenuate overshoot in step response. In simulation, 14 published linearized model matrices of NASA’s CMAPSS-1 90k engine model are used to verify the above theory. Simulations show one FOLADRC controller can be simultaneously used for the 14 linear models and guarantee that all the 14 low-pressure turbine speed control loops have enough phase margin and no overshoot. Thus, replacing several PI controllers with one FOLADRC controller is possible, and FOLADRC can be used to simplify the control system design of turbofan engines.

Suggested Citation

  • Hui-Yu Jin & Yang Chen, 2023. "First-Order Linear Active Disturbance Rejection Control for Turbofan Engines," Energies, MDPI, vol. 16(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2743-:d:1098165
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    References listed on IDEAS

    as
    1. Gengjin Shi & Zhenlong Wu & Jian Guo & Donghai Li & Yanjun Ding, 2020. "Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control," Energies, MDPI, vol. 13(7), pages 1-26, April.
    2. Ting He & Zhenlong Wu & Rongqi Shi & Donghai Li & Li Sun & Lingmei Wang & Song Zheng, 2019. "Maximum Sensitivity-Constrained Data-Driven Active Disturbance Rejection Control with Application to Airflow Control in Power Plant," Energies, MDPI, vol. 12(2), pages 1-23, January.
    3. Riccardo Chiumeo & Diego Raggini & Alessandro Veroni & Alessio Clerici, 2022. "Comparative Analysis of PI and ADRC Control through CHIL Real Time Simulations of a DC-DC DAB into a Multi-Terminal MVDC/LVDC Distribution Network," Energies, MDPI, vol. 15(20), pages 1-32, October.
    4. Fan Zhang & Yali Xue & Donghai Li & Zhenlong Wu & Ting He, 2019. "On the Flexible Operation of Supercritical Circulating Fluidized Bed: Burning Carbon Based Decentralized Active Disturbance Rejection Control," Energies, MDPI, vol. 12(6), pages 1-18, March.
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