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Comparison of several system identification methods for flexible structures

机译:柔性结构几种系统识别方法的比较

摘要

In the last few years various methods of identifying structural dynamics models from modal testing data have appeared. A comparison is presented of four of these algorithms: the Eigensystem Realization Algorithm (ERA), the modified version ERA/DC where DC indicated that it makes use of data correlation, the Q-Markov Cover algorithm, and an algorithm due to Moonen, DeMoor, Vandenberghe, and Vandewalle. The comparison is made using a five mode computer module of the 20 meter Mini-Mast truss structure at NASA Langley Research Center, and various noise levels are superimposed to produced simulated data. The results show that for the example considered ERA/DC generally gives the best results; that ERA/DC is always at least as good as ERA which is shown to be a special case of ERA/DC; that Q-Markov requires the use of significantly more data than ERA/DC to produce comparable results; and that is some situations Q-Markov cannot produce comparable results.
机译:在最近几年中,出现了从模态测试数据中识别结构动力学模型的各种方法。比较了以下四种算法:本征系统实现算法(ERA),改进版本ERA / DC(其中DC表示使用数据相关性),Q-Markov Cover算法以及由于Moonen,DeMoor而产生的算法,范登堡(Vandenberghe)和Vandewalle。比较是使用位于NASA兰利研究中心的20米Mini-Mast桁架结构的五模式计算机模块进行的,并将各种噪声级别叠加到生成的模拟数据上。结果表明,对于所考虑的示例,ERA / DC通常可提供最佳结果。 ERA / DC始终至少与ERA一样好,这被证明是ERA / DC的特例; Q-Markov需要使用比ERA / DC多得多的数据才能产生可​​比的结果;在某些情况下,Q-Markov无法产生可比的结果。

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