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Fine tuning of a fuzzy controller for vibration suppression of smart plates using genetic algorithms

Tairidis Georgios, Foutsitzi Georgia A., Koutsianitis Panagiotis, Stavroulakis Georgios

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URI: http://purl.tuc.gr/dl/dias/AFCC5367-2634-49BF-B277-69FB530531A2
Year 2016
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation G. Tairidis, G. Foutsitzi, P. Koutsianitis and G. E. Stavroulakis, "Fine tuning of a fuzzy controller for vibration suppression of smart plates using genetic algorithms," Adv. Eng. Softw., vol. 101, pp. 123-135, Nov. 2016. doi: 10.1016/j.advengsoft.2016.01.019 https://doi.org/10.1016/j.advengsoft.2016.01.019
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Summary

Piezoelectric sensors and actuators are used for vibration control and suppression of a smart composite plate. In the present paper, the vibration suppression of smart structures using intelligent control strategy is considered. A smart plate described by Mindlin plate theory is used in the finite element modeling of laminates with piezoelectric layers. The control is based on a set of fuzzy rules that combine the membership functions of the system variables by using fuzzy inference techniques. A genetic algorithm is used in order to optimize the parameters of the fuzzy controller. The numerical results indicate that the problem statement is successful and the proposed method is very efficient. In addition, the results obtained are very satisfactory compared to previous investigations of our team. All implementations are built and tested within MATLAB environment.

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