基于扩展卡尔曼滤波和振动监测的实时动态倾角识别方法

Yiming Zhao, Danhui Dan
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引用次数: 0

摘要

结构振动包括平移自由度和转动自由度,但后者往往被忽略。本文在现有加速度计的基础上建立了动态倾角测量模型,构建了综合表示平移自由度和旋转自由度的状态方程和测量方程。然后,利用扩展卡尔曼滤波方法对状态方程和测量方程进行线性化和离散化,推导了动态倾角识别的滤波过程。通过简支梁结构算例验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real time dynamic inclination identification method based on extended Kalman filtering and vibration monitoring
Structural vibration includes both translational and rotational degrees of freedom, but the latter are often ignored. The paper establishes a dynamic inclination measurement model based on the existing accelerometer, and constructs state and measurement equations that comprehensively represent translational and rotational degrees of freedom. Then, the extended Kalman filtering method is used to linearize and discretize the state equation and measurement equation, and the filtering process of dynamic Inclination Identification is derived. The feasibility of the method was verified through an example of a simply supported beam structure.
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