具有复合几何约束的可变形网络鲁棒控制算法

Bin Zhang, X. Chen, Jin Zhou
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引用次数: 0

摘要

在具有移动边界的变形网络问题中,鲁棒控制算法是至关重要的,但也是具有挑战性的,特别是一些网元容易变形,“负体积”元会导致网络变形失败。本文通过分析网元的几何特性,提出了一种改进的控制算法,以得到变形良好的网络。这些几何约束简洁而有效地优化了变形网络。通过对不同变形网的对比和三维机翼的下坠两种情况验证了改进方法的优越性。结果表明,改进后的控制算法比经典算法能创建更好的变形网络,不仅减少了网元的畸变,而且提高了网络的整体鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Robust Control Algorithm of Deformable Network with Composite Geometric Constraints
A robust control algorithm is crucial but also challenging in deformable network problems with moving boundary, especially some net elements are easily distorted, and the “negative volume” elements will cause a failed network deformation. In order to create well-deformed network, in this paper, we present an improved control algorithm by analyzing the geometric characteristic of net element. These geometric constraints are concise but efficient to optimize the deformed network. Two cases are investigated to validate the advantage of the improved method, such as the comparing of different deformed nets and the plunging of a three-dimensional wing. The results show that the improved control algorithm can create better-deformed network than classical algorithms, not only reduces the distortion of net elements but also improves the overall robustness of the network.
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