4.7 Article

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

Journal

ADVANCES IN ENGINEERING SOFTWARE
Volume 101, Issue -, Pages 123-135

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2016.01.019

Keywords

Smart structures; Piezoelectric composites; Plate model; Active control; Fuzzy control; Genetic algorithms

Funding

  1. European Union (European Social Fund - ESF)
  2. Greek national funds through the Operational Program Education and Lifelong Learning of the National Strategic Reference Framework (NSRF) - Research Funding Program: ARCHIMEDES III, investing in knowledge society through the European Social Fund

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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. (C) 2016 Civil-Comp Ltd. and Elsevier Ltd. All rights reserved.

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