<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Faculty of Engineering, Department of Electrical & Electronics Engineering

Department of Experimental Physics, Faculty of Science

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

We report an improvement of the artificial neural network (ANN) modelling of a piezoelectric actuator vibration based on the experimental data. The controlled...

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

Published Online: Nov 28, 2017

Page range: 371 - 377

Received: Jun 20, 2017

DOI: https://doi.org/10.1515/jee-2017-0069

Keywords
piezoelectric actuator, laser displacement sensor, resonance frequency, vibration displacement, artificial neural network

© 2017 Levent Paralı et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Published Online: Nov 28, 2017

Page range: 371 - 377

Received: Jun 20, 2017

DOI: https://doi.org/10.1515/jee-2017-0069

Keywordspiezoelectric actuator, laser displacement sensor, resonance frequency, vibration displacement, artificial neural network

© 2017 Levent Paralı et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
piezoelectric actuator, laser displacement sensor, resonance frequency, vibration displacement, artificial neural network