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针对求解航空发动机数学模型时,使用传统的压气机二维特性曲线进行插值计算精度较差的问题,引入了优化技术中元建模的思想,对压气机特性进行模型重构。根据压气机特性数据空间分布的特点,定义元模型的输入输出维数,采用Kriging算法建立了流量和效率特性的代理模型。以某型涡扇发动机为例进行了压气机特性元建模的仿真计算,设定了满足压气机稳定工作要求的计算区域,在新的计算区域上对未知转速下的特性进行了模型重构。通过模型的校核与验证表明,根据Kriging代理模型重构的部件特性有较高的精度,优于传统的插值方法。可以预期压气机特性Kriging代理模型的应用,对提高航空发动机模型求解的精度,具有一定的工程应用价值。
Aiming at solving the mathematical model of aeroengine, the problem of poor accuracy of interpolation calculation using the traditional two-dimensional characteristic curve of the compressor is introduced, and the idea of meta-modeling in optimization technology is introduced to reconstruct the characteristics of the compressor. According to the characteristics of the spatial distribution of the compressor characteristic data, the input and output dimensions of the metamodel are defined. The Kriging algorithm is used to establish the proxy model of the flow and efficiency characteristics. Taking a turbofan engine as an example, the simulation calculation of the compressor characteristic element modeling is carried out. The calculation area that meets the requirements of the compressor stability is set. In the new calculation area, the characteristics under unknown rotation speed are modeled . The verification and verification of the model show that the part features reconstructed from the Kriging agent model have higher accuracy than the traditional interpolation method. It can be expected that the application of the Kriging agent model of compressor characteristics can be expected to improve the accuracy of solving the aeroengine model and has certain engineering application value.