Hydrogen is expected to be widely used in aviation, but accurately measuring its flow rate remains challenging due to its compressibility, potentially compromising engine performance. Prolonged operation of aero-engines in high-temperature environments can alter the health parameters of the engine’s gas path, potentially leading to performance degradation or even damage. Maintaining good dynamic quality of aero-engine speed is crucial despite uncertainties in hydrogen measurement and engine degradation. This paper proposes an internal model control algorithm and designs a robust speed controller that considers these uncertainties. Simulation results demonstrate that, unlike traditional PI methods where the relationship between robustness and design parameters is unclear, the proposed speed controller exhibits strong robustness. Even in the presence of uncertainties in metering and engine degradation, it effectively maintains speed control robustness.
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Pan et al. (2024) studied this question.
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