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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/1FE7CB24-0849-4069-87AF-EA01BB41F2B7 | - |
| Identifier | https://doi.org/10.1177/1077546319854588 | - |
| Identifier | https://journals.sagepub.com/doi/10.1177/1077546319854588 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Vibration control of smart composite structures using shunted piezoelectric systems and neuro-fuzzy techniques | en |
| Creator | Tairidis Georgios | en |
| Creator | Ταϊριδης Γεωργιος | el |
| Publisher | SAGE Publications | en |
| Content Summary | Shunt piezoelectric circuits can be used in several combinations for passive control of smart structures. Resonant shunt circuits with resistors and inductors can control resonant frequencies, by consuming the energy produced from vibrations by passing it to electric components. Such systems are very efficient for single-mode problems; however, when it comes to multi-mode control, their performance drastically deteriorates. The purpose of the present study is the development of optimized resonant shunt piezoelectric circuits, along with an intelligent control system based on adaptive neuro-fuzzy techniques, for vibration suppression of smart composite structures. Shunt circuits are pre-tuned to the first four eigenfrequencies and a neuro-fuzzy control system is developed and used for the activation of the suitable shunt circuit, each time, providing the necessary adaptivity to the whole system. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2020-04-23 | - |
| Date of Publication | 2019 | - |
| Subject | Control | en |
| Subject | Neuro-fuzzy control | en |
| Subject | Piezoelectricity | en |
| Subject | Shunt circuits | en |
| Subject | Structures | en |
| Subject | Vibrations | en |
| Bibliographic Citation | G.K. Tairidis, "Vibration control of smart composite structures using shunted piezoelectric systems and neuro-fuzzy techniques," J. Vib. Control, vol. 25, no. 18, pp. 2397-2408, Sept. 2019. doi: 10.1177/1077546319854588 | en |
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