Disturbance suppression control combined disturbance ovserber with acceleration feedback in 2-dimensional shaking table system

2014 ◽  
Author(s):  
Kenta Seki ◽  
Makoto Iwasaki
Keyword(s):  
Shaking Table ◽  
Disturbance Suppression ◽  
Acceleration Feedback

scholarly journals Controller Design for Reaction Force of Specimen Considering Disturbance Suppression in Shaking Table Systems

2008 ◽  
Vol 74 (745) ◽  
pp. 2206-2213 ◽  
Author(s):  
Kenta SEKI ◽  
Motoharu KIKUCHI ◽  
Motohiro KAWAFUKU ◽  
Makoto IWASAKI ◽  
Hiromu HIRAI ◽  
...  
Keyword(s):  
Controller Design ◽  
Reaction Force ◽  
Shaking Table ◽  
Disturbance Suppression

FRACTURE OF BEAM-TO-COLUMN CONNECTIONS SIMULATED BY FULL-SCALE SHAKING TABLE TEST AND EVALUATION OF DEFORMATION CAPACITY

2002 ◽  
Vol 67 (560) ◽  
pp. 181-188 ◽  
Author(s):  
Yuka MATSUMOTO ◽  
Satoshi YAMADA ◽  
Ken OKADA ◽  
Masatoshi IDE ◽  
Toru TAKEUCHI ◽  
...  
Keyword(s):  
Shaking Table Test ◽  
Full Scale ◽  
Shaking Table ◽  
Deformation Capacity ◽  
Test And Evaluation

scholarly journals A Preprocess Method of External Disturbance Suppression for Carotid Wall Motion Estimation Using Local Phase and Orientation of B-Mode Ultrasound Sequences

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Qinghui Zhang ◽  
Junqiu Li ◽  
Zhenping Qiang ◽  
Libo He
Keyword(s):  
Motion Estimation ◽  
Wall Motion ◽  
Structural Information ◽  
External Disturbance ◽  
Estimation Accuracy ◽  
Ultrasound Images ◽  
Local Phase ◽  
Registration Method ◽  
Anisotropic Diffusion Filter ◽  
Disturbance Suppression

Estimating the motions of the common carotid artery wall plays a very important role in early diagnosis of the carotid atherosclerotic disease. However, the disturbances caused by either the instability of the probe operator or the breathing of subjects degrade the estimation accuracy of arterial wall motion when performing speckle tracking on the B-mode ultrasound images. In this paper, we propose a global registration method to suppress external disturbances before motion estimation. The local vector images, transformed from B-mode images, were used for registration. To take advantage of both the structural information from the local phase and the geometric information from the local orientation, we proposed a confidence coefficient to combine them two. Furthermore, we altered the speckle reducing anisotropic diffusion filter to improve the performance of disturbance suppression. We compared this method with schemes of extracting wall displacement directly from B-mode or phase images. The results show that this scheme can effectively suppress the disturbances and significantly improve the estimation accuracy.

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