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


PARALI L., SARI A., KILIÇ U. , Sahin O., PECHOUSEK J.

JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, cilt.68, ss.371-377, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 68 Konu: 5
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1515/jee-2017-0069
  • Dergi Adı: JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS
  • Sayfa Sayıları: ss.371-377

Özet

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.