随机共振
能量收集
噪音(视频)
共振(粒子物理)
刚度
能量(信号处理)
控制理论(社会学)
随机过程
功率(物理)
光谱密度
单调函数
振动
统计物理学
物理
数学
声学
计算机科学
数学分析
原子物理学
热力学
量子力学
统计
图像(数学)
人工智能
控制(管理)
作者
Xulu Gong,Pan Xu,Di Liu,Biliu Zhou
标识
DOI:10.1016/j.chaos.2023.113534
摘要
This paper aims to study the stochastic resonance of multi-stable energy harvesting system and enhance the performance of energy harvesting from random rotational environment. The influences of high-order stiffness terms and multi-stable characteristics are analyzed. The spectral amplification is derived to quantify the stochastic resonance for the energy harvesting system with penta-stable configuration driven by noise and periodic forcing. The non-monotonic dependence of spectral amplification on noise intensity indicates the existence of stochastic resonance. In particular, a critical high-order stiffness coefficient is revealed, for which the stochastic resonance is optimum. Meanwhile, the maximum of spectral amplification can be optimized by choosing appropriate unstable equilibrium positions. In addition, it is found that both the average input energy and the overall efficiency in power conversion can be further enhanced under conditions of stochastic resonance. Finally, the penta-stable energy harvester demonstrates a good performance in output power for different noise intensities and damping coefficients.
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