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Unsteady aerodynamics modeling using Volterra series expansed by basis function

机译:不稳定的空气动力学建模使用Volterra系列由基本函数划大

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Unsteady aerodynamics modeling must accurately describe nonlinear aerodynamic characteristics in addition to unsteady aerodynamic characteristics. The Volterra series has attracted increasing attention as a powerful tool for nonlinear system modeling. It is essential to incorporate the influence of the second-order Volterra kernel or higher-order kernels to build a nonlinear unsteady aerodynamics model. The main difficulty in the identification of higher-order kernels is that the number of parameters to be identified increases exponentially with the order of a kernel. This paper expands the Volterra kernels with the four-order B-spline wavelet on the interval as the basis function, converts the problem into the solution of low-dimensional equations, and obtains a stable solution. A nonlinear unsteady aerodynamics model is built by identifying the second-order and third-order kernels of the lift, drag, and pitching moment coefficients of the NACA0012 airfoil. Then the model is verified at different reduced frequencies using CFD.
机译:除了不稳定的空气动力学特征外,不稳定的空气动力学建模必须准确地描述非线性空气动力学特性。 Volterra系列吸引了越来越多的关注作为非线性系统建模的强大工具。必须纳入二阶Volterra内核或高阶内核的影响来构建非线性不稳定的空气动力学模型。识别高阶内核的主要困难是要识别的参数的数量与内核的顺序呈指数呈指数级增大。本文将volterra内核与四阶B样条小波膨胀为基础函数,将问题转换为低维方程的解决方案,并获得稳定的解决方案。通过识别NACA0012翼型的电梯,拖曳和俯仰时刻系数的二阶和三阶核构成非线性不稳定的空气动力学模型。然后使用CFD以不同的降低频率验证该模型。

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