随机共振
白噪声
噪音(视频)
声学
高斯噪声
物理
共振(粒子物理)
振幅
振动
能量(信号处理)
流离失所(心理学)
计算物理学
光学
数学
计算机科学
原子物理学
量子力学
统计
图像(数学)
心理学
算法
人工智能
心理治疗师
作者
Li‐Qun Chen,Wen‐An Jiang
摘要
Internal resonance is explored as a possible mechanism to enhance vibration-based energy harvesting. An electromagnetic device with snap-through nonlinearity is proposed as an archetype of an internal resonance energy harvester. Based on the equations governing the vibration measured from a stable equilibrium position, the method of multiple scales is applied to derive the amplitude–frequency response relationships of the displacement and the power in the first primary resonances with the two-to-one internal resonance. The amplitude–frequency response curves have two peaks bending to the left and the right, respectively. The numerical simulations support the analytical results. Then the averaged power is calculated under the Gaussian white noise, the narrow-band noise, the colored noise defined by a second-order filter, and the exponentially correlated noise. The results demonstrate numerically that the internal resonance design produces more power than other designs under the Gaussian white noise and the exponentially correlated noise. Besides, the internal resonance energy harvester can outperform the linear energy harvesters with the same natural frequencies and in the same size under Gaussian white noise.
科研通智能强力驱动
Strongly Powered by AbleSci AI