Stochastic analysis of a nonlinear energy harvester with fractional derivative damping

Rongchun Hu, Dongxu Zhang, Zichen Deng, Chenghui Xu

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4 Scopus citations

Abstract

A fractionally damped vibration energy harvester excited by the wide-band random noise is investigated theoretically in this paper. Firstly, by introducing the generalized harmonic transformation, an equivalent uncoupled system only with respect to the mechanical states is established, while the external circuit and the fractional derivative damping are decoupled into damping and stiffness with amplitude-dependent coefficients, respectively. Then, a stochastic averaging operator technique is carried out to derive the stationary distribution of the mechanical states and furtherly obtain the mean square electric voltage (MSEV) and mean output power (MOP) of the energy harvester theoretically. Finally, the relationships between the fractional derivative and the MSEV and MOP are explored in detail to help improve the performance of the energy harvester.

Original languageEnglish
Pages (from-to)1973-1986
Number of pages14
JournalNonlinear Dynamics
Volume108
Issue number3
DOIs
StatePublished - May 2022

Keywords

  • Fractional derivative damping
  • Nonlinear energy harvesting
  • Stochastic averaging technique
  • Wide-band noises

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