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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 437-440

Online Prediction Method for Structural Vibration Based on Neural Networks

Jianjun Liu, Kaiquan Xia, and Caixia Zhu

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In recent years, considerable attention has been paid to research and development of semi-active control systems, which do not have the potential to destabilize the structural system and require only a small amount of power.Due to the inherent nonlinear nature and uncertainty of the semi-active control system based on magnetorheological (MR) fluid damper, an improved back-propagation (BP) algorithm is proposed, which divides the actual structure model into a mechanism model part and a time-varying error model part. By means of off-line training and on-line modifying, the intelligent control system based on the improved BP algorithm are acquired. It can be used to predict the damping force of MR damper and eliminate the influence of time delay. Theoretical analysis and numerical simulations show that the intelligent control system can efficiently reduce the structure responses induced by earthquake, has good performance in adaptively tracking target and displays resistance to disturbances.

Index Terms

online prediction, intelligent control, neural network

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