Proc. SPIE. 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
KEYWORDS: Detection and tracking algorithms, Matrices, Interference (communication), Control systems, Earthquakes, Finite element methods, System identification, Algorithm development, Control systems design, Systems modeling
In the previous study, authors 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 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) was used. The effectiveness of the control algorithm was examined exciting the test structure using a sinusoidal signal, a scaled E-Centro earthquake and a broadband Gaussian white noise. Specially, experiments on control had been performed under a different condition to that of system identification in order to prove the stability and robustness of the proposed control algorithm. 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.