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UNCERTAINTY BOUNDING OF CFRP BEAMS TOWARDS ROBUST CONTROL OF FLEXIBLE COMPOSITE STRUCTURES

机译:CFRP光束对柔性复合结构鲁棒控制的不确定性界限

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As composite materials are becoming increasingly applied in actively controlled flexible structures, the need for practical uncertainty bounding to capture the effect of normal manufacturing variations on their dynamic behavior is also increasing. Currently, there is a lack of quantification of manufacturing variation of composite materials cast in a robust control framework. This work presents a simple experimental study on a particular case of composite member. The modal parameters of a set of 12 unidirectional carbon fiber reinforce polymer beams are identified. A nominal finite element model is numerically fit to the average experimental natural frequencies and antiresonances. The model is augmented with real parametric uncertainties placed on the modal parameters. The bound on the uncertainties is found both deterministically, to capture all experimentally observed data, and stochastically using a predetermined confidence interval. The two uncertainty bounding approaches are compared through the resulting bound on the beam model frequency response. Also, simulations are conducted to compare possible time responses using the two uncertainty bounds. It is found that the utilized structure of parametric uncertainties is effective at capturing the experimentally observed behavior.
机译:随着复合材料越来越多地应用于主动控制的柔性结构,需要实际不确定性边界以捕获正常制造变化对其动态行为的影响也在增加。目前,在坚固控制框架中缺乏复合材料的制造变化缺乏量化。这项工作呈现了对复合构件特定情况的简单实验研究。鉴定了一组12个单向碳纤维增强聚合物束的模态参数。标称有限元模型在数量上适合平均实验自然频率和反弓。该模型以实际参数不确定性增强,放置在模态参数上。不确定因素的束缚在一起确定,以确定所有实验观察的数据,并且使用预定的置信区间随机捕获。通过束模型频率响应的产生界限将两个不确定性边界方法进行比较。此外,进行仿真以使用两个不确定性界限进行比较可能的时间响应。发现参数不确定因素的利用结构有效地捕获实验观察到的行为。

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