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Intelligent beam vibration control utilizing smart materials
Piezoelectric materials have become increasingly popular for structural vibration control. The ability of the material to generate a mechanical strain upon the application of an electric field has made it ideal for this situation. In addition, the direct effect of generating an electric charge when subjecting the material to a mechanical stress has its benefits as well. Simultaneously, a renewed interest in research in intelligent control has blossomed with the development of fuzzy logic control and neural networks. The overall goal of this study lies in the synergistic combination of artificial neural networks and fuzzy logic controls with smart materials. In order to accomplish this task, a neural network was designed to identify the dominant vibration mode in a vibratory system. Once the neural network identifies the present mode, it chooses from a set of previously tuned fuzzy logic controllers to optimally damp the beam's vibration.
Intelligent beam vibration control utilizing smart materials
Piezoelectric materials have become increasingly popular for structural vibration control. The ability of the material to generate a mechanical strain upon the application of an electric field has made it ideal for this situation. In addition, the direct effect of generating an electric charge when subjecting the material to a mechanical stress has its benefits as well. Simultaneously, a renewed interest in research in intelligent control has blossomed with the development of fuzzy logic control and neural networks. The overall goal of this study lies in the synergistic combination of artificial neural networks and fuzzy logic controls with smart materials. In order to accomplish this task, a neural network was designed to identify the dominant vibration mode in a vibratory system. Once the neural network identifies the present mode, it chooses from a set of previously tuned fuzzy logic controllers to optimally damp the beam's vibration.
Intelligent beam vibration control utilizing smart materials
Song, Jun-Kyung (author) / Washington, G. (author) / Mayhan, P. (author)
1998
6 Seiten, 11 Quellen
Conference paper
English
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