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

Levent Paralı; Ali Sarı; Ulaş Kılıç; Özge Şahin; Jiří Pěchoušek

doi:10.1515/jee-2017-0069

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.

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

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