Smart structure with build-in sensor(s) and actuator(s) that can actively and adoptively change its physical geometry and properties has been considered one of the best candidates in vibration control applications. Implementation of neural networks to system identification and vibration suppression of a smart structure is conducted in this paper. Three neural networks are developed, one for system identification, the second for on-line state estimation, and the third for vibration suppression. It is shown both in analysis and in experiment that these neural networks can identify, estimate, and suppress the vibration of a composite structure by the embedded piezoelectric sensor and actuator. The controller is also shown to be robust to system parameter variations.
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March 1997
Technical Papers
Vibration Control of Smart Structures by Using Neural Networks
S. M. Yang,
S. M. Yang
Institute of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701 Taiwan
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G. S. Lee
G. S. Lee
Institute of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701 Taiwan
Search for other works by this author on:
S. M. Yang
Institute of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701 Taiwan
G. S. Lee
Institute of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701 Taiwan
J. Dyn. Sys., Meas., Control. Mar 1997, 119(1): 34-39 (6 pages)
Published Online: March 1, 1997
Article history
Received:
September 27, 1995
Online:
December 3, 2007
Citation
Yang, S. M., and Lee, G. S. (March 1, 1997). "Vibration Control of Smart Structures by Using Neural Networks." ASME. J. Dyn. Sys., Meas., Control. March 1997; 119(1): 34–39. https://doi.org/10.1115/1.2801211
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