The invention discloses a data-driven supercritical airfoil performance prediction method and system and a medium. The method comprises the steps that a target control point coordinate set is acquired; the target control point coordinate set is input to the performance prediction model, a target principal component amplitude set is output and obtained, and the target principal component amplitude set is used for representing performance data of the target airfoil; the performance prediction model comprises a lift coefficient prediction model and a resistance coefficient prediction model, the lift coefficient prediction model is obtained by training according to original airfoil profile data and an original lift coefficient curve, and the resistance coefficient prediction model is obtained by training according to original airfoil profile data and an original resistance coefficient curve; the target principal component amplitude set comprises a target lift principal component amplitude set obtained through prediction of the lift coefficient prediction model and a target resistance principal component amplitude set obtained through prediction of the resistance coefficient prediction model. The method provided by the embodiment of the invention can solve the problem that the calculation amount of the aerodynamic performance of the existing airfoil profile is large, and can effectively improve the prediction accuracy of the lift coefficient and the resistance coefficient.

    本发明公开了数据驱动的超临界翼型性能预测方法、系统及介质,方法包括:获取目标控制点坐标集;输入目标控制点坐标集至性能预测模型,输出得到目标主成分振幅集,目标主成分振幅集用于表示目标翼型的性能数据;性能预测模型包括升力系数预测模型和阻力系数预测模型,升力系数预测模型根据原始翼型数据和原始升力系数曲线训练得到,阻力系数预测模型根据原始翼型数据和原始阻力系数曲线训练得到,目标主成分振幅集包括通过升力系数预测模型预测得到的目标升力主成分振幅集,和通过阻力系数预测模型预测得到的目标阻力主成分振幅集。本发明实施例方法能够解决现有翼型气动性能的计算量大的问题,且能有效提高升力系数、阻力系数预测的精准度。


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    Titel :

    Data-driven supercritical airfoil performance prediction method and system and medium


    Weitere Titelangaben:

    数据驱动的超临界翼型性能预测方法、系统及介质


    Beteiligte:
    CHENG RAN (Autor:in) / WANG WEITUO (Autor:in) / SUN KEBIN (Autor:in)

    Erscheinungsdatum :

    2023-08-22


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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