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Optimization of Wing Kinematics for Hovering MAVs Using Calculus of Variation

机译:使用变异演算优化无人机悬停的机翼运动学

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The weight and power constraints imposed on flapping wing micro-air-vehicles necessitate optimal design of the flapping kinematics. To date, the approach adopted for kinematics optimization has been to assume specific functions for the Euler angles describing the wing motion with respect to the body. Then, optimization is performed on the parameters of these functions. In another approach, a number of instants over the flapping cycle are selected and optimization is performed on the magnitude of the Euler angles at these instants. This latter approach provides more freedom for the variations of the Euler angles rather than confining them to certain patterns. Yet, in both approaches, finite-dimensional optimization is adopted and, as such, additional constraints are imposed. Considering that the problem is an infinite-dimensional optimization problem, we use, in this work, the calculus of variations to obtain true optimality. The combination of the quasi-steady aerodynamics and the calculus of variations approach yields an upper bound for the flapping wing aerodynamic performance. This bound can be used as a basis for evaluating the performance of any realistic design by assessing the degree of closeness between that design and the true optimal performance.
机译:对襟翼微型飞机施加的重量和功率限制要求对襟翼运动学进行优化设计。迄今为止,用于运动学优化的方法一直是承担欧拉角的特定功能,以描述相对于机翼的机翼运动。然后,对这些功能的参数进行优化。在另一种方法中,选择拍打周期上的多个时刻,并对这些时刻的欧拉角的大小进行优化。后一种方法为欧拉角的变化提供了更大的自由度,而不是将它们限制在某些模式上。然而,在两种方法中,都采用了有限维优化,因此,施加了附加约束。考虑到该问题是一个无穷维优化问题,在本文中,我们使用变化的演算来获得真正的最优性。准稳态空气动力学和变化演算方法的结合为襟翼空气动力学性能提供了一个上限。通过评估该设计与实际最佳性能之间的紧密程度,可以将此边界用作评估任何实际设计性能的基础。

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