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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
The artificial neural network modelling of the piezoelectric actuator vibrations using laser displacement sensor
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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