The artificial neural network modelling of the piezoelectric actuator vibrations using laser displacement sensor
| Autor: | Ali Sari, Ulaş Kılıç, Levent Paralı, Ozge Sahin, Jiří Pěchoušek |
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| Přispěvatelé: | Ege Üniversitesi |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Materials science Artificial neural network Acoustics laser displacement sensor piezoelectric actuator resonance frequency 02 engineering and technology Laser 01 natural sciences law.invention 010309 optics Vibration 020901 industrial engineering & automation law vibration displacement 0103 physical sciences Displacement (orthopedic surgery) Piezoelectric actuators artificial neural network |
| Zdroj: | Journal of Electrical Engineering. 68:371-377 |
| ISSN: | 1339-309X |
| DOI: | 10.1515/jee-2017-0069 |
| Popis: | WOS: 000418491200006 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. Scientific Research Council of Manisa Celal Bayar University [2015-127] This work was supported by the Scientific Research Council of Manisa Celal Bayar University (Project No. 2015-127). |
| Databáze: | OpenAIRE |
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