Stochastic analysis of monostable vibration energy harvesters with fractional derivative damping under Gaussian white noise excitation

Yong Ge Yang, Wei Xu

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

To the best of authors’ knowledge, the dynamical behaviors of vibration energy harvesters with fractional derivative damping have not been discussed by researchers with the help of the stochastic averaging method. As the fractional-order models are more accurate than the classical integer-order models, so it is necessary to investigate the dynamical behaviors of fractional vibration energy harvesters. This paper aims to investigate the stochastic response of monostable vibration energy harvesters with fractional derivative damping under Gaussian white noise excitation. First, we can get the equivalent stochastic system with the help of variable transformation. Then, the approximately analytical solutions of the equivalent stochastic system can be obtained by the stochastic averaging method. Third, the numerical results are considered as the benchmark to prove the effectiveness of the proposed method. The results indicate that the proposed method has a satisfactory level of accuracy. We also discuss the effect of system parameters on the mean square voltage.

Original languageEnglish
Pages (from-to)639-648
Number of pages10
JournalNonlinear Dynamics
Volume94
Issue number1
DOIs
StatePublished - 1 Oct 2018

Keywords

  • Fractional calculus
  • Gaussian white noise
  • Stochastic averaging method
  • Vibration energy harvesters

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