On the stochastic response regimes of a tristable viscoelastic isolation system under delayed feedback control

Huang, Dongmei; Zhou, Shengxi; Li, Wei; Litak, Grzegorz

doi:10.1007/s11431-020-1724-x

Cited by 15 publications

(1 citation statement)

References 51 publications

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“…[33][34][35][36] Oumbé Tékam et al [37] focused on the dynamics of fractional viscoelastic materials applied to a strong nonlinear energy harvesting system, and analyzed the complexity of system response by controlling viscoelastic parameters. According to research by Huang et al, [38] the relationship between the parameters of the tristable viscoelastic vibration isolation system under random excitation and the dynamic characteristics of system under the time-delayed feedback control was established. Tuwa et al [39] analyzed the dynamics of a quarter automobile suspension with a fractional derivative viscoelastic model, and explored the dependence of the amplitude of a quarter automobile suspension model on viscoelastic parameters.…”

Section: Introductionmentioning

confidence: 99%

Performance enhancement of a viscoelastic bistable energy harvester using time-delayed feedback control

Huang 黄,

Yang 杨,

Liu 刘

2024

Chinese Phys. B

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This paper focuses on the stochastic analysis of a viscoelastic bistable energy harvesting system under colored noise and harmonic excitation, and adopts the time-delayed feedback control to improve its harvesting effciency. Firstly, to obtain the dimensionless governing equation of the system, the original bistable system is approximated as a system without viscoelastic term by using the stochastic averaging method of energy envelope, and then is further decoupled to derive an equivalent system. The credibility of the proposed method is validated by contrasting the consistency between the numerical and the analytical results of the equivalent system under different noise conditions. The influence of system parameters on average output power is analyzed, and the control effect of the time-delayed feedback control on system performance is compared. The output performance of the system is improved with the occurrence of stochastic resonance(SR). Therefore, the signal-to-noise ratio expression for measuring SR is derived, and the dependence of its SR behavior on different parameters is explored.

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