结构高速率动态事件的实时模型更新算法

Seong Hyeon Hong, Claire Drnek, Austin Downey, Yi Wang, J. Dodson
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引用次数: 3

摘要

面对未建模的高速率动态事件,主动结构的实时模型更新需要在2ms或更短的时间尺度上进行结构模型更新。受到未建模的高速率动态事件影响的主动结构包括高超音速飞行器、主动爆炸缓减和轨道基础设施。由于感兴趣的事件的未建模性质,实时模型更新算法应该绕过任何模型预计算。在这项工作中,我们提出了一种方法,通过在线测量来更新经历变化动力学的结构的有限元分析(FEA)模型。该算法在一个由悬臂梁和作为活动支撑的滚轮组成的试验台上进行了验证。通过在线自适应网格划分和搜索算法,通过不断更新相关的有限元模型来更新结构的状态(即运动滚子的位置)。通过实测信号与有限元模型的比较,连续估计结构的状态。通过模态分析的自适应网格划分和模型选择的自适应搜索空间对结构状态进行增强估计,建立新的有限元模型。该方法在实验平台上进行了实时实验验证。结果表明,自适应特征可以在要求的2ms时间尺度内实现精确的状态估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Model Updating Algorithm for Structures Experiencing High-Rate Dynamic Events
Real-time model updating of active structures subject to unmodeled high-rate dynamic events require structural model updates on the timescale of 2 ms or less. Examples of active structures subjected to unmodeled high-rate dynamic events include hypersonic vehicles, active blast mitigation, and orbital infrastructure. Due to the unmodeled nature of the events of interest, the real-time model updating algorithm should circumvent any model pre-calculations. In this work, we present a methodology that updates the finite element analysis (FEA) model of a structure experiencing varying dynamics through online measurements. The algorithm is demonstrated for a testbed, comprised of a cantilever beam and a roller that serves as movable support. The structure’s state is updated (i.e. the position of the moving roller) by continuously updating the associated FEA model through an online adaptive meshing and search algorithm. The structure’s state is continuously estimated by comparing the measured signals with FEA models. New FEA models are built based on the enhanced estimate of the structure’s state through adaptive meshing for modal analysis and adaptive search space for the FEA model selection. The proposed methodology is verified experimentally in real-time using the testbed. It is demonstrated that the adaptive features can achieve accurate state estimations within the required 2 ms timescale.
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