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A smoothing algorithm for joint input-state estimation in structural dynamics

机译:结构动力学中联合输入状态估计的平滑算法

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This paper presents a recursive algorithm where a time delay is considered in the estimation of the forces applied to a structure and the corresponding system states. In particular when the measured response is not collocated with the estimated forces, essential information on the estimated forces and/or system states is contained in the response at L consecutive time steps following the time step where the estimation is performed. The main focus in this paper is on the reduction in estimation uncertainty that can be achieved by so-called smoothing, i.e. by considering a time delay in the estimation. When the calculation of the gain matrices is included in the recursive estimation, the calculation time of the algorithm largely increases with the time delay. It is shown that a prior calculation of the steady-state gain matrices allows for a significant reduction of the calculation time. The presented algorithm is first verified using numerical simulations. Next, a validation is performed using data obtained from a field test on a footbridge.
机译:本文提出了一种递归算法,其中在估计作用到结构上的力和相应的系统状态时考虑了时间延迟。特别地,当所测量的响应未与估计的力并置时,关于估计的力和/或系统状态的基本信息在执行估计的时间步骤之后的L个连续的时间步长中包含在响应中。本文的主要重点是减少估计不确定性,这可以通过所谓的平滑来实现,即通过考虑估计中的时间延迟来实现。当将增益矩阵的计算包括在递归估计中时,该算法的计算时间随着时间延迟而大大增加。结果表明,稳态增益矩阵的先验计算可以大大减少计算时间。首先使用数值模拟验证了所提出的算法。接下来,使用从人行桥上的现场测试获得的数据进行验证。

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