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This study develops a fault detection and isolation (FDI) method for aeroengine control systems through unknown input observer (UIO). First, a fault model for the engine actuator is developed utilizing linear state-space formulation. Then, a fault estimation method is designed by using an unknown input observer to estimate the generalized state with actuator faults. Robust H∞ filtering is used to suppress the effect of system disturbances, where optimal observer matrix parameters are derived through linear matrix inequality (LMI) optimization. Finally, simulation verification is conducted to validate the effectiveness of the proposed method.

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Fault Estimation for Aero-Engine Actuator Using Unknown Input Observers

  • 会议论文

  • 发表日期：

    2026年

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  • Huihui Li,
  • Qiang Shen,
  • Linfeng Gou

摘要

This study develops a fault detection and isolation (FDI) method for aeroengine control systems through unknown input observer (UIO). First, a fault model for the engine actuator is developed utilizing linear state-space formulation. Then, a fault estimation method is designed by using an unknown input observer to estimate the generalized state with actuator faults. Robust H∞ filtering is used to suppress the effect of system disturbances, where optimal observer matrix parameters are derived through linear matrix inequality (LMI) optimization. Finally, simulation verification is conducted to validate the effectiveness of the proposed method.