Experimental study of active control using neural networks
作者:
H. M. Chen,
G. Z. Qi,
J. C. S. Yang,
F. Amini,
期刊:
Journal of Structural Control
(WILEY Available online 1998)
卷期:
Volume 5,
issue 1
页码: 27-43
ISSN:1122-8385
年代: 1998
DOI:10.1002/stc.4300050102
出版商: John Wiley&Sons, Ltd
关键词: Active control;Neural networks;Experimental Test;Structural control
数据来源: WILEY
摘要:
AbstractSignificant progress has been achieved in the active control of civil engineering structures in recent years. Although many control algorithms has been proposed, only few experiments in active structural control have been performed. In this paper, active structural control experiments were carried out using a scaled model structure simulating a three‐story steel frame building. The model was subjected to a base motion on a shake table. A neural network based controller was implemented to control the response of the structure. This trained neural controller was implemented to control the response of the structure. It is experimentally verified that the neural network is able to generalized to new inputs, i.e. a properly trained neural network is capable of providing sensible outputs when presented with input data that has never been used during training. Results from this experimental study indicate great promise for the control of civil engineering structures under dynamic loadings using the artificial neural network controlle
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