TY - JOUR
T1 - Probabilistic approach for active control of structures
T2 - Experimental verification
AU - Hwang, Jae Seung
AU - Min, Kyung Won
AU - Lee, Sang Hyun
AU - Kim, Hongjin
PY - 2005/3
Y1 - 2005/3
N2 - In our previous study (Earthquake Engineering and Structural Dynamics 2003; 32:2301), we have developed a probabilistic algorithm for active control of structures. In the probabilistic control algorithm, the control force is determined by the probability that the structural energy exceeds a specified target critical energy, and the direction of a control force is determined by the Lyapunov controller design method. In this paper, an experimental verification of the proposed probabilistic control algorithm is presented. A three-story test structure equipped with an active mass driver (AMD) has been used. The effectiveness of the control algorithm has been examined by exciting the test structure using a sinusoidal signal, a scaled El Centro earthquake and a broadband Gaussian white noise; and, especially, experiments on control have been performed under different conditions to that of system identification in order to prove the stability and robustness of the proposed control algorithm. The experimental results indicate that the probabilistic control algorithm can achieve a significant response reduction under various types of ground excitations even when the modeling error exists.
AB - In our previous study (Earthquake Engineering and Structural Dynamics 2003; 32:2301), we have developed a probabilistic algorithm for active control of structures. In the probabilistic control algorithm, the control force is determined by the probability that the structural energy exceeds a specified target critical energy, and the direction of a control force is determined by the Lyapunov controller design method. In this paper, an experimental verification of the proposed probabilistic control algorithm is presented. A three-story test structure equipped with an active mass driver (AMD) has been used. The effectiveness of the control algorithm has been examined by exciting the test structure using a sinusoidal signal, a scaled El Centro earthquake and a broadband Gaussian white noise; and, especially, experiments on control have been performed under different conditions to that of system identification in order to prove the stability and robustness of the proposed control algorithm. The experimental results indicate that the probabilistic control algorithm can achieve a significant response reduction under various types of ground excitations even when the modeling error exists.
KW - Active mass driver
KW - Modeling error
KW - Probabilistic control algorithm
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=14844297694&partnerID=8YFLogxK
U2 - 10.1002/eqe.420
DO - 10.1002/eqe.420
M3 - Article
AN - SCOPUS:14844297694
SN - 0098-8847
VL - 34
SP - 207
EP - 225
JO - Earthquake Engineering and Structural Dynamics
JF - Earthquake Engineering and Structural Dynamics
IS - 3
ER -