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Open-loop optimal control of a flapping wing using an adjoint Lattice Boltzmann method

机译:使用伴随格子Boltzmann方法的张开翼的开环最佳控制

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We present the usage of an adjoint Lattice Boltzmann Method (LBM) for open-loop control of two-dimensional flapping wing motion. Movement of the wing is parametrised with periodic B-Splines, while the wing interacts with the surrounding flow via an Immersed Boundary (IB) method. Multi-objective optimisation is performed using a gradient optimisation algorithm, for which sensitivities are calculated with an adjoint method. The objectives selected were the mean lift force and mechanical power. To achieve performance suitable for optimisation, we also present an efficient GPU implementation of the LBM and adjoint LBM. The Immersed Boundary approach employed for the LBM is verified against results from the literature, while for the flapping case it is compared with two different Finite Volume Method (FVM) approaches. The obtained Pareto front of optimal designs shows a clear discrepancy between the power consumption and the mean lift force. A significant improvement of the basic wing design is demonstrated, and highlights the applicability of adjoint LBM simulations in complex open-loop control problems. (C) 2020 The Author(s). Published by Elsevier Ltd.
机译:我们介绍了伴随格子Boltzmann方法(LBM)的使用,用于二维拍打翼运动的开环控制。机翼的运动是具有周期性B样条的参数化,而机翼通过浸没的边界(IB)方法与周围流动相互作用。使用梯度优化算法执行多目标优化,以伴随方法计算灵敏度。选择的目标是平均提升力和机械功率。为了实现适合优化的性能,我们还提供了LBM和伴随LBM的有效GPU实现。为LBM采用的浸入式边界方法是针对文献的结果验证,而对于拍打案例,它与两种不同的有限体积法(FVM)方法进行比较。所获得的Pareto前面的最佳设计前面显示了功耗和平均提升力之间的明显差异。证明了基本翼设计的显着改进,并突出了伴随LBM模拟在复杂的开环控制问题中的适用性。 (c)2020提交人。 elsevier有限公司出版

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