Eventos Anais de eventos
DINAME2019
DINAME2019
Shunt Control on Smart Structures Using Genetic Algorithm and Neural Network Method.
Submission Author:
Venicio Silva Araujo , MT , Brazil
Co-Authors:
Venicio Silva Araujo, Guilherme Silva Prado, Heinsten Frederich Leal dos Santos
Presenter: Venicio Silva Araujo
doi://10.26678/ABCM.DINAME2019.DIN2019-0137
Abstract
Piezoelectric materials have been extensively studied in recent years for the development of electromechanical harvesting devices. Usually connected to a structure, these kinds of materials convert kinetic energy into electric energy, and your electronic parameters interact directly to the vibrations of the system they are coupled on. Therefore, this work aims at comparing the use of genetic algorithms and artificial neural network techniques in the implement of shunt control in a structural set of a cantilever beam coupled to a piezoelectric layer in the piezo-beam configuration. For the architecture of the genetic algorithm and the neural network, was used a software with finite element model implemented and the comparisons were made analyzing the execution time of the algorithms and their respective responses when both of them were defined on the task of find the best combination between the parameters of resistance and inductance of the piezoeletric patch that result in the best damping to the structure. The results shows that the neural network after training complete your execution in order of 10−2 seconds, much faster than genetic algorithm, presenting a response with a average gain in damping of 23,24dB.
Keywords
Vibrations control, genetic algorithm, Neural Network, Smart Structures, Shunt Control
