On square-wave-driven stochastic resonance for energy harvesting in a bistable system

Su, Dongxu; Zheng, Rencheng; Nakano, Kimihiko; Cartmell, M.P.

doi:10.1063/1.4903167

Cited by 11 publications

(3 citation statements)

References 21 publications

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“…The research led by K. Nakano and M. P. Cartmell (Su et al, 2013;Zhang et al, 2014;Zheng et al, 2014) was the first group to definitively experimentally demonstrate stochastic resonance for VEH while showcasing its amplification effect from ambient broadband noise. Their work has shown the modulation of the bistable potential well (Hu et al, 2012;Su et al, 2013Su et al, , 2014 while also mapping out a comprehensive theoretical and experimental framework for stochastic resonance in a rotational VEH context (Zheng et al, 2014). The rotational scenario has been experimented in automotive wheels (Zhang et al, 2014(Zhang et al, , 2015(Zhang et al, , 2016 where the external ambient road vibration acts as the broadband noise excitation and wheel speed-dependent vibration acts as the specific periodic signal.…”

Section: Stochastic Resonance For Vehmentioning

confidence: 99%

Review of nonlinear vibration energy harvesting: Duffing, bistability, parametric, stochastic and others

Jia

2020

Journal of Intelligent Material Systems and Structures

115

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Vibration energy harvesting typically involves a mechanical oscillatory mechanism to accumulate ambient kinetic energy, prior to the conversion to electrical energy through a transducer. The convention is to use a simple linear mass-spring-damper oscillator with its resonant frequency tuned towards that of the vibration source. In the past decade, there has been a rapid expansion in research of vibration energy harvesting into various nonlinear vibration principles such as Duffing nonlinearity, bistability, parametric oscillators, stochastic oscillators and other nonlinear mechanisms. The intended objectives for using nonlinearity include broadening of frequency bandwidth, enhancement of power amplitude and improvement in responsiveness to non-sinusoidal noisy excitations. However, nonlinear vibration energy harvesting also comes with its own challenges and some of the research pursuits have been less than fruitful. Previous reviews in the literature have either focussed on bandwidth enhancement strategies or converged on select few nonlinear mechanisms. This article reviews eight major types of nonlinear vibration energy harvesting reported over the past decade, covering underlying principles, advantages and disadvantages, and application-specific guidance for researchers and designers.

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Section: Stochastic Resonance For Vehmentioning

confidence: 99%

Review of nonlinear vibration energy harvesting: Duffing, bistability, parametric, stochastic and others

Jia

2020

Journal of Intelligent Material Systems and Structures

115

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“…McInnes et al [11] first suggested the possibility of improving the performance of nonlinear bi-stable harvesters using stochastic resonance and provided a numerical analysis to support such a proposition. By adding a periodically modulated excitation to a randomly excited bi-stable harvester, it has been found that the power is improved by about eight times over the power of the same harvester without stochastic resonance [12]. Following this fundamental work, a bi-stable harvester was designed by Zheng et al [13,14] to experimentally demonstrate stochastic resonance as a strategy for stochastic energy harvesting.…”

Section: Introductionmentioning

confidence: 99%

Stochastic resonance energy harvesting for a rotating shaft subject to random and periodic vibrations: influence of potential function asymmetry and frequency sweep

Kim

Tai

Zhou

et al. 2017

Smart Mater. Struct.

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Stochastic resonance is referred to as a physical phenomenon that is manifest in nonlinear systems whereby a weak periodic signal can be significantly amplified with the aid of inherent noise or vice versa. In this paper, stochastic resonance is considered to harvest energy from two typical vibrations in rotating shafts: random whirl vibration and periodic stick-slip vibration. Stick-slip vibrations impose a constant offset in centrifugal force and distort the potential function of the harvester, leading to potential function asymmetry. A numerical analysis based on a finite element method was conducted to investigate stochastic resonance with potential function asymmetry. Simulation results revealed that a harvester with symmetric potential function generates seven times higher power than that with asymmetric potential function. Furthermore, a frequency-sweep analysis also showed that stochastic resonance has hysteretic behavior, resulting in frequency difference between up-sweep and down-sweep excitations. An electromagnetic energy harvesting system was constructed to experimentally verify the numerical analysis. In contrast to traditional stochastic resonance harvesters, the proposed harvester uses magnetic force to compensate the offset in the centrifugal force. System identification was performed to obtain the parameters needed in the numerical analysis. With the identified parameters, the numerical simulations showed good agreement with the experiment results with around 10% error, which verified the effect of potential function asymmetry and frequency sweep excitation condition on stochastic resonance. Finally, attributed to compensating the centrifugal force offset, the proposed harvester generated nearly three times more open-circuit output voltage than its traditional counterpart.

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“…Subsequently, SR phenomena have been observed in Schmitt trigger circuit by Fauve [ 4 ] and a bidirectional ring laser by McNamara [ 5 ], which confirmed the SR theory. Since then, this nonlinear phenomenon has received much attention from the physics community, which was widely used in weak-signal detection and energy harvesting [ 6 , 7 , 8 , 9 ]. Recent researches show that SR not only appears in bistable systems [ 10 ], but also in monostable oscillators [ 11 ], chaotic systems [ 12 ], and time-delay systems [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Generalized Parameter-Adjusted Stochastic Resonance of Duffing Oscillator and Its Application to Weak-Signal Detection

Lai

Leng

2015

Sensors

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A two-dimensional Duffing oscillator which can produce stochastic resonance (SR) is studied in this paper. We introduce its SR mechanism and present a generalized parameter-adjusted SR (GPASR) model of this oscillator for the necessity of parameter adjustments. The Kramers rate is chosen as the theoretical basis to establish a judgmental function for judging the occurrence of SR in this model; and to analyze and summarize the parameter-adjusted rules under unmatched signal amplitude, frequency, and/or noise-intensity. Furthermore, we propose the weak-signal detection approach based on this GPASR model. Finally, we employ two practical examples to demonstrate the feasibility of the proposed approach in practical engineering application.

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On square-wave-driven stochastic resonance for energy harvesting in a bistable system

Abstract: Energy harvesting in a quad-stable harvester subjected to random excitation AIP Advances 6, 025022 (2016)

Cited by 11 publications

References 21 publications

Review of nonlinear vibration energy harvesting: Duffing, bistability, parametric, stochastic and others

Review of nonlinear vibration energy harvesting: Duffing, bistability, parametric, stochastic and others

Stochastic resonance energy harvesting for a rotating shaft subject to random and periodic vibrations: influence of potential function asymmetry and frequency sweep

Generalized Parameter-Adjusted Stochastic Resonance of Duffing Oscillator and Its Application to Weak-Signal Detection

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