Abstract
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 El-Centro earthquake and a broadband Gaussian white noise. Specially, experiments on control had been performed under a different condition to that of system identification hi 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.
Original language | English |
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Pages (from-to) | 566-577 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5391 |
DOIs | |
State | Published - 2004 |
Event | Smart Structures and Materials 2004 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems - San Diego, CA, United States Duration: 15 Mar 2004 → 18 Mar 2004 |
Keywords
- Lyapunov controller
- Probabilistic control algorithm
- System identification