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Experimental Validation of an Improved Dynamic Displacement Estimation Method using Accelerometer and Gyroscope
Abstract
Dynamic displacement of a structure is an important indicator of structural health condition after an earthquake. The displacement sensors, such as the linear variable differential transducers, cannot be used with an earthquake because the displacement of the instrument is hard to be separated from those of the structure. Recently, many new low-cost microelectromechanical sensors have both 3D accelerometers and 3D gyroscopes on board. These sensors provide simultaneous and high accurate measurements. In this paper, we will utilize these sensors to estimate dynamic displacement. Specifically, we firstly propose to use a complementary filter to combine the acceleration and gyroscope signals. Then, we apply digital signal processing techniques to improve the estimation accuracy further. The proposed algorithm shows highly accurate results on a data set obtained from an indoor shake table experiment
DOI
10.12783/shm2017/14171
10.12783/shm2017/14171
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