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Reduced-order modeling of unsteady aerodynamics of a flapping wing based on the Volterra theory

机译:基于沃尔泰拉理论的襟翼非定常空气动力学降阶建模

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Flapping flight mechanisms offers a power-efficient and highly manoeuvrable basis for the development of micro air vehicles. The aerodynamic knowledge and prediction tools of the flapping wing are quite important for the design of micro air vehicles. In this paper, the unsteady aerodynamics of a flapping wing is investigated by numerical simulations and the generation of reduced-order model based on the Volterra theory for predicting the unsteady aerodynamic of a flapping wing is described. The three dimensional aerodynamic calculation is performed by solving the unsteady Reynolds-averaged Navier-Stokes equations and the user-defined functions were employed to simulate the flapping motion. The training maneuver is a flapping motion with a linearly increasing flapping frequency. Based on the Volterra theory and numerical simulation results, a reduced-order model is generated to predict the unsteady aerodynamics of a flapping wing. The system identification method is employed to generate the Volterra theory reduced-order model. The results show that the Volterra theory reduced-order model agrees well with the training data and the Volterra theory reduced-order model works well to predict the unsteady aerodynamics of a flapping wing.
机译:拍打飞行机制为微型航空器的发展提供了高效节能且可灵活操作的基础。襟翼的空气动力学知识和预测工具对于微型飞机的设计非常重要。本文通过数值模拟研究了襟翼的非定常空气动力学特性,并描述了基于沃尔泰拉理论的降阶模型的生成,以预测襟翼的非定常空气动力学特性。通过求解不稳定的雷诺平均Navier-Stokes方程进行三维空气动力学计算,并使用用户定义的函数来模拟拍打运动。训练动作是拍打动作,拍打频率呈线性增加。基于沃尔泰拉理论和数值模拟结果,生成了降阶模型以预测襟翼的非定常空气动力学特性。系统识别方法用于生成Volterra理论降阶模型。结果表明,Volterra理论降阶模型与训练数据吻合良好,Volterra理论降阶模型可以很好地预测襟翼的非定常空气动力学特性。

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