Active Control with Optical Fiber Sensors and Neural Networks. I: Theoretical Analysis
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Volume 132, Issue 8
Abstract
To implement the concept of a smart structure, a smart active control system is presented. Both fiber Bragg grating (FBG) sensors and neural networks are utilized to construct a system similar to the human being. The smart system is comprised of three parts: a structural condition surveillance system, three converters, and a controller. By distributing as many sensors as possible in the key areas in buildings, FBG sensors can be used for assessing structure soundness while acting as dendrites in a neural network system. Comparison of structural responses under an uncontrolled system, traditional optimal linear quadratic gain, and the proposed NEURO-FBG control system verifies the advantages of using this novel technique approach. The system robustness is evaluated under both time delay and disconnection problems. Analytical results demonstrate that the NEURO-FBG system can effectively control the response of the structure and provide a more reliable system than ordinary active control.
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Acknowledgment
The writers would like to thank the National Science Council of the Republic of China, Taiwan for financially supporting this research under Contract No. NSCTNSC 90-2625-Z-002-031.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 132 • Issue 8 • August 2006
Pages: 1293 - 1303
Copyright
© 2006 ASCE.
History
Received: Oct 2, 2003
Accepted: Nov 28, 2005
Published online: Aug 1, 2006
Published in print: Aug 2006
Notes
Note. Associate Editor: Elisa D. Sotelino
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