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

Parali L., Sari A., KILIÇ U., Sahin Ö., Pechousek J.

JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, vol.68, no.5, pp.371-377, 2017 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 68 Issue: 5
  • Publication Date: 2017
  • Doi Number: 10.1515/jee-2017-0069
  • Journal Name: JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.371-377
  • Keywords: piezoelectric actuator, laser displacement sensor, resonance frequency, vibration displacement, artificial neural network
  • Dokuz Eylül University Affiliated: Yes

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.