Abstract Developing a high-confidence entire aeroengine model that accurately incorporating unstable modes is imperative for advancing active stability control. This paper proposes a real-time model for the active stability control of aeroengines, which integrates the compressor's instability into the classical component level model (CLM). Firstly, the principles of CLM and modeling methods for inlet distortion, compressor instability dynamics, and air injector are introduced. Then, the collaborative relationship between the compressor and the other engine's components are studied to construct a real-time model with coupled instability mechanisms, involving the extension of compressor characteristics and the parameters matching between various instability models and the CLM. Finally, simulation cases under multiple unstable modes are set up to verify the effectiveness of the model, and standard instability detection algorithms are employed to confirm the confidence of the unstable signals generated by the model. The results show that the proposed model effectively captures the dynamic characteristics of stall and surge, as well as the steady-state and dynamic simulation capabilities during full operating range. Besides, it can also simulate the impact of the inlet distortion and the air injection on compressor stability. The pulsating characteristics of pressure signals and the variations of performance parameters of the model during stall and surge are highly consistent with the real test data. Moreover, the model achieves a single-step run time of no more than 7.16 ms on the embedded platform, fulfilling real-time requirements. Consequently, the model can serve as a foundation for verifying three critical aspects of active stability control: instability detection, practical actuator, and feedback control algorithms.


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    Titel :

    A novel aeroengine real-time model for active stability control: Compressor instabilities integration


    Beteiligte:
    Zhang, Xinglong (Autor:in) / Zhang, Tianhong (Autor:in) / Sheng, Hanlin (Autor:in)


    Erscheinungsdatum :

    2023-12-18




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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