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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73582009" target="_blank" >RIV/61989592:15310/17:73582009 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.degruyter.com/downloadpdf/j/jee.2017.68.issue-5/jee-2017-0069/jee-2017-0069.pdf" target="_blank" >https://www.degruyter.com/downloadpdf/j/jee.2017.68.issue-5/jee-2017-0069/jee-2017-0069.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/jee-2017-0069" target="_blank" >10.1515/jee-2017-0069</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Electrical Engineering

ISSN

1335-3632

e-ISSN

—

Svazek periodika

68

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

7

Strana od-do

371-377

Kód UT WoS článku

000418491200006

EID výsledku v databázi Scopus

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