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Distributed-parameter estimation for NASA Mini-Mast truss through displacement measurements

机译:通过位移测量估算NASA小型桅杆桁架的分布参数

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Abstract: Most methods of system identification of large flexible structures by far are based on the lumped parameter approach. Because of the considerable computational burden due to the large number of unknown parameters, distributed parameter approach, which greatly decreases the number of unknowns, has been investigated. In this paper, a distributed parameter model for the estimation of modal characteristics of NASA Mini-Mast truss has been formulated. Both Bernoulli-Euler beam and Timoshenko beam equations are used to characterize the lateral bending vibrations of the truss. The measurement of the lateral displacement at the tip of the truss is provided to the maximum likelihood estimator. Closed- form solutions of the partial differential equations and closed-form expressions of the sensitivity functions are derived so that the estimation algorithm is highly efficient. The resulting estimates from test data by using Timoshenko beam model are found to be comparable to those derived from finite element analysis. !8
机译:摘要:到目前为止,大多数大型柔性结构的系统识别方法都是基于集总参数方法。由于大量未知参数会导致相当大的计算负担,因此研究了可大大减少未知数的分布式参数方法。本文建立了用于估计美国宇航局微型桅杆桁架模态特性的分布式参数模型。 Bernoulli-Euler梁方程和Timoshenko梁方程均用于表征桁架的横向弯曲振动。桁架尖端的横向位移的测量值提供给最大似然估计器。推导了偏微分方程的闭式解和灵敏度函数的闭式表达式,从而使估计算法高效。通过使用Timoshenko光束模型从测试数据得出的估计结果与从有限元分析得出的估计结果具有可比性。 !8

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