ty -jour a2-歌曲，Zhiguang au -shi，yan au -wan，Zhiqiang au -wu -wu，Zhigang au -Yang -Yang，Chao py -2021 DA -2021/09/16 ti-非线性不稳定的无效的空气动力学模型基于机能的模型，算法融合和多倍率框架SP -4368104 VL -2021 AB-基于算法融合的降低订单建模方法和非线性不稳定空气动力学的多倍率框架，以获得低成本和高确定性的纯净空气动态模型。此方法集成了传统算法，智能算法和多倍数数据融合算法。在这种方法中，传统算法基于分离的流程理论，智能算法是指非线性自回旋（NARX）方法，而多率数据融合算法使用不同的保真度数据来用于空气动力建模，这可以缩短数据采集数据的时间成本。。首先，在建模过程中，具有NARX描述的多重级模型为不稳定的空气动力学提供了一般智能算法框架。然后，基于分离的流程理论，构建了从低保真模型到高保真结果的校正方程，并使用基于混乱优化的杜鹃算法来识别参数。为了验证该方法的有效性，建立了NACA0012机翼的不稳定空气动力学模型。具有低，中和高保真度的三种数据用于建模。低保真性和中等程度数据分别从CFD-Euler求解器和CFD-RANS求解器获得，而高保真数据来自实验结果。然后，建立模型，其对不稳定空气动力系数的预测与CFD结果和实验数据非常吻合。 After that, the model is applied to a two-dimensional aeroelastic system, and the bifurcation and limit cycle response analysis are compared with the experimental results, which further shows that the model can accurately capture the main flow characteristics in the flow range of low speed and high angle of attack. In addition, the convergence of the model is studied; the accuracy and generalization ability as well as applicability scope of the model are compared with other aerodynamic models and finally discussed. SN - 1687-5966 UR - https://doi.org/10.1155/2021/4368104 DO - 10.1155/2021/4368104 JF - International Journal of Aerospace Engineering PB - Hindawi KW - ER -