结构模态分析中卡尔曼滤波的一致性分析

Ilker Tanyer, S. Ozen, C. Donmez, M. Altınkaya
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引用次数: 0

摘要

本文对结构系统模态分析中卡尔曼滤波的一致性进行了分析。本征系统实现算法(ERA)作为一种基本的模态分析算法,将与卡尔曼滤波一起用于结构系统的模态参数估计。通过将ERA应用于从结构中获取的脉冲响应测量,将编写状态空间表示。本文将使用卡尔曼滤波作为状态估计器,它在最小化测量噪声方面起着至关重要的作用。在将卡尔曼滤波器与ERA结合使用之前,对结构系统的人工脉冲响应数据进行了卡尔曼滤波器的一致性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consistency analysis of Kalman Filter for Modal Analysis of Structures
In this paper, Consistency Analysis of Kalman Filter for Modal Analysis of Structural Systems is made. As a future work, A fundamental Modal Analysis algorithm, Eigensystem Realization Algorithm(ERA) will be used with Kalman filters together to make a modal parameter estimation for a structural system. By applying ERA to the impulse response measurements taken from the structure, a state-space representation will be written. Kalman filter will be used as a state estimator in this study and it will have a critical role on minimizing the measurement noise. Before using Kalman filter with ERA, a consistency analysis of Kalman filter is made for artificial impulse response data of the structural system.
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