The artificial neural network modelling of the piezoelectric actuator vibrations using laser displacement sensor-Reference-Cited by-同舟云学术

The artificial neural network modelling of the piezoelectric actuator vibrations using laser displacement sensor

Published:2017-09-01 Issue:5 Volume:68 Page:371-377
ISSN:1339-309X
Container-title:Journal of Electrical Engineering
language:en
Short-container-title:

Author:

Paralı Levent¹,Sarı Ali²,Kılıç Ulaş³,Şahin Özge⁴,Pěchoušek Jiří⁵

Affiliation:

1. Department of Electronics and Automation , 45400 Turgutlu , Manisa, Turkey

2. Department of Electric and Energy , 45400 Turgutlu , Manisa, Turkey

3. Ege University , Faculty of Engineering, Department of Electrical & Electronics Engineering 35100 Bornova, Izmir , Turkey

4. Dokuz Eylul University , Faculty of Engineering, Department of Electrical & Electronics Engineering 35160 Buca, Izmir , Turkey

5. Department of Experimental Physics, Faculty of Science , Palack University in Olomouc , 17. listopadu 1192/12, 771 46 Olomouc , Czech Republic

Abstract

Abstract We report an improvement of the artificial neural network (ANN) modelling of a piezoelectric actuator vibration based on the experimental data. The controlled vibrations of an actuator were obtained by utilizing the swept-sine signal excitation. The peak value in the displacement signal response was measured by a laser displacement sensor. The piezoelectric actuator was modelled in both linear and nonlinear operating range. A consistency from 90.3 up to 98.9% of ANN modelled output values and experimental ones was reached. The obtained results clearly demonstrate exact linear relationship between the ANN model and experimental values.

Publisher

Walter de Gruyter GmbH

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