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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.24 No.2
- 발행연도
- 2019.1
- 수록면
- 209 - 221 (13page)
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초록· 키워드
오류제보하기
The classical Kalman filter (KF) provides a practical and efficient way for state estimation. It is, however, not applicable when the external excitations applied to the structures are unknown. Moreover, it is known the classical KF is only suitable for linear systems and can’t handle the nonlinear cases. The aim of this paper is to extend the classical KF approach to circumvent the aforementioned limitations for the joint estimation of structural states and the unknown inputs. On the basis of the scheme of the classical KF, analytical recursive solution of an improved KF approach is derived and presented. A revised form of observation equation is obtained basing on a projection matrix. The structural states and the unknown inputs are then simultaneously estimated with limited measurements in linear or nonlinear systems. The efficiency and accuracy of the proposed approach is verified via a five-story shear building, a simply supported beam, and three sorts of nonlinear hysteretic structures. The shaking table tests of a five-story building structure are also employed for the validation of the robustness of the proposed approach. Numerical and experimental results show that the proposed approach can not only satisfactorily estimate structural states, but also identify unknown loadings with acceptable accuracy for both linear and nonlinear systems.
목차
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참고문헌 (32)
참고문헌 신청
Dionisio Bernal / 2013 / Kalman filter damage detection in the presence of changing process and measurement noise / Mechanical Systems and Signal Processing 39(1-2):361~371
J. Ching / 2007 / Real-time reliability estimation for serviceability limit states in structures with uncertain dynamic excitation and incomplete output data / Probabilistic Engineering Mechanics 22(1):50~62
Saeed Eftekhar Azam / 2012 / Parallelized sigma-point Kalman filtering for structural dynamics / Computers & Structures 92-93:193~205
S. Eftekhar Azam / 2012 / Stochastic system identification via particle and sigma-point Kalman filtering / Scientia Iranica 19(4):982~991
Saeed Eftekhar Azam / 2015 / A dual Kalman filter approach for state estimation via output-only acceleration measurements / Mechanical Systems and Signal Processing 60-61:866~886
J. Ching / 2007 / Real-time reliability estimation for serviceability limit states in structures with uncertain dynamic excitation and incomplete output data / Probabilistic Engineering Mechanics 22(1):50~62
Saeed Eftekhar Azam / 2012 / Parallelized sigma-point Kalman filtering for structural dynamics / Computers & Structures 92-93:193~205
S. Eftekhar Azam / 2012 / Stochastic system identification via particle and sigma-point Kalman filtering / Scientia Iranica 19(4):982~991
Saeed Eftekhar Azam / 2015 / A dual Kalman filter approach for state estimation via output-only acceleration measurements / Mechanical Systems and Signal Processing 60-61:866~886
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