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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.20 No.5
- 발행연도
- 2017.1
- 수록면
- 619 - 636 (18page)
이용수
초록· 키워드
오류제보하기
Magnetorheological (MR) damper is a type of controllable device widely used in vibration mitigation. This device is highly nonlinear, and exhibits strongly hysteretic behavior that is dependent on both the motion imposed on the device and the strength of the surrounding electromagnetic field. An accurate model for understanding and predicting the nonlinear damping force of the MR damper is crucial for its control applications. The MR damper models are often identified off-line by conducting regression analysis using data collected under constant voltage. In this study, a MR damper model is integrated with a model for the power supply unit (PSU) to consider the dynamic behavior of the PSU, and then a real-time nonlinear model updating technique is proposed to accurately identify this integrated MR damper model with the efficiency that cannot be offered by off-line methods. The unscented Kalman filter is implemented as the updating algorithm on a cyber-physical model updating platform. Using this platform, the experimental study is conducted to identify MR damper models in real-time, under in-service conditions with time-varying current levels. For comparison purposes, both off-line and real-time updating methods are applied in the experimental study. The results demonstrate that all the updated models can provide good identification accuracy, but the error comparison shows the real-time updated models yield smaller relative errors than the off-line updated model. In addition, the real-time state estimates obtained during the model updating can be used as feedback for potential nonlinear control design for MR dampers.
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참고문헌 (43)
참고문헌 신청
Bass, B. J. / 2007 / System ientification of a 200 kN mgneto-reological fuid dmper for sructural cntrol in lrge-sale sart sructures / Proceedings of the 2007 American Control Conference
Chatzi, E. N. / 2008 / The unscented kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing / Struct. Control Health 16(1):99~123
Chatzi, E. N. / 2010 / Experimental application of on-line parametric identification for nonlinear Hysteretic Systems with Model Uncertainty / Struct. Saf 32(5):326~337
Choi, S. / 2001 / A hysteresis model for the field-dependent damping force of a magnetorheological damper / J. Sound Vib 245(2):375~383
Dyke, S. J. / 1996 / Acceleration feedback control strategies for active and semi-active control systems: modeling, algorithm development., and experimental verification
Chatzi, E. N. / 2008 / The unscented kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing / Struct. Control Health 16(1):99~123
Chatzi, E. N. / 2010 / Experimental application of on-line parametric identification for nonlinear Hysteretic Systems with Model Uncertainty / Struct. Saf 32(5):326~337
Choi, S. / 2001 / A hysteresis model for the field-dependent damping force of a magnetorheological damper / J. Sound Vib 245(2):375~383
Dyke, S. J. / 1996 / Acceleration feedback control strategies for active and semi-active control systems: modeling, algorithm development., and experimental verification
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