대한기계학회논문집A (Transactions of the Korean Society of Mechanical Engineers A)
- 제22권1호
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- Pages.23-32
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- 1998
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- 1226-4873(pISSN)
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- 2288-5226(eISSN)
DOI QR Code
변형률 감지기를 이용한 복합재료 지능구조물의 변형형상예측
Shape estimation of the composite smart structure using strain sensors
- 윤영복 (한양대학교 대학원 기계설계학과) ;
- 조영수 (한양대학교 대학원 기계설계학과) ;
- 이동건 (한양대학교 대학원 기계설계학과) ;
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황운봉
(포항공과대학교 기계공학과) ;
- 하성규 (한양대학교 기계공학과)
- Yoon, Young-Bok (Dept. of Mechanical Design, Graduate School of Hanyang University) ;
- Cho, Young-Soo (Dept. of Mechanical Design, Graduate School of Hanyang University) ;
- Lee, Dong-Gun (Dept. of Mechanical Design, Graduate School of Hanyang University) ;
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Hwang, Woon-Bong
(Dept. of Mechanical Engineering, Pohang University of Science and Technology) ;
- Ha, Sung-Kyu (Dept. of Mechanical Engineering, Hanyang University)
- 발행 : 1998.01.01
초록
A shape estimation is needed to control actively a smart structure. A method is, hence, proposed to predict the deformed shape of the structure subjected to unknown external load using the signal from sensors attached to the structure. The shape estimation is based on the relationship between the deformation of the structure and the signal from the sensors. The matrix containing the relationship between the deformation and signal is obtained using fictitious force or eigenvector of global stiffness matrix. Then the deformed shape can be predicted using the linear matrix and signal from sensors attached to the structure. To verify this method, experiment and FEM were performed and it was shown that the shape estimation method based on the fictitious force predicts deflections well and more accurately than that based on eigenvector.