Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element

Combining the stochastic averaging method and generalized harmonic function, we propose a procedure to investigate the fractional-order energy harvesting system. First, we can obtain the approximately equivalent system by means of the generalized harmonic transformation; Second, the stochastic avera...

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Main Authors: Ya-Hui Sun, Yong-Ge Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9047919/
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author Ya-Hui Sun
Yong-Ge Yang
author_facet Ya-Hui Sun
Yong-Ge Yang
author_sort Ya-Hui Sun
collection DOAJ
description Combining the stochastic averaging method and generalized harmonic function, we propose a procedure to investigate the fractional-order energy harvesting system. First, we can obtain the approximately equivalent system by means of the generalized harmonic transformation; Second, the stochastic averaging method is utilized to get the approximate stationary solutions of the simplified system. Finally, In order to illustrate the accuracy of the developed scheme, two examples are carried out. The results show that the developed procedure has a satisfactory reliability. The influences of the intensity of noise excitation, the fractional order, the fractional coefficient and the nonlinear restoring force on the mean-square voltage (MSV) and mean output power (MOP) are also investigated.
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spelling doaj.art-7880bd71331e466f9e16c391bdcad6652022-12-21T22:50:37ZengIEEEIEEE Access2169-35362020-01-018598835989010.1109/ACCESS.2020.29835409047919Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative ElementYa-Hui Sun0Yong-Ge Yang1https://orcid.org/0000-0001-7791-583XSchool of Applied Mathematics, Guangdong University of Technology, Guangzhou, ChinaSchool of Applied Mathematics, Guangdong University of Technology, Guangzhou, ChinaCombining the stochastic averaging method and generalized harmonic function, we propose a procedure to investigate the fractional-order energy harvesting system. First, we can obtain the approximately equivalent system by means of the generalized harmonic transformation; Second, the stochastic averaging method is utilized to get the approximate stationary solutions of the simplified system. Finally, In order to illustrate the accuracy of the developed scheme, two examples are carried out. The results show that the developed procedure has a satisfactory reliability. The influences of the intensity of noise excitation, the fractional order, the fractional coefficient and the nonlinear restoring force on the mean-square voltage (MSV) and mean output power (MOP) are also investigated.https://ieeexplore.ieee.org/document/9047919/Energy harvestingfractional calculusGaussian noise
spellingShingle Ya-Hui Sun
Yong-Ge Yang
Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element
IEEE Access
Energy harvesting
fractional calculus
Gaussian noise
title Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element
title_full Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element
title_fullStr Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element
title_full_unstemmed Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element
title_short Stochastic Averaging for the Piezoelectric Energy Harvesting System With Fractional Derivative Element
title_sort stochastic averaging for the piezoelectric energy harvesting system with fractional derivative element
topic Energy harvesting
fractional calculus
Gaussian noise
url https://ieeexplore.ieee.org/document/9047919/
work_keys_str_mv AT yahuisun stochasticaveragingforthepiezoelectricenergyharvestingsystemwithfractionalderivativeelement
AT yonggeyang stochasticaveragingforthepiezoelectricenergyharvestingsystemwithfractionalderivativeelement