Optimal design of energy harvesting from vibration subject to stochastic colored Gaussian process
Optimal design of energy harvesting from vibration subject to stochastic colored Gaussian process
复制标题
随机有色高斯过程振动能量收集的优化设计
DOI：
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复制
发表时间：
2019
影响因子：
1.2
通讯作者：
G. Acciani
中科院分区：
文献类型：
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作者：
G. Marano;G. Quaranta;F. Trentadue;Leqia He;G. Acciani
本文所处理的问题是最佳的机电设置的能量采集器工作的随机性质的振动。我们考虑一个简单的系统由两部分组成;一个电路与机械单自由度系统，耦合到压电元件。电路被建模为一个简单的，由一个电阻和一个电容，而线性粘弹性模型用于机械元件。唯一的联合机电元件是压电装置，其由机械速度和电张力两者控制。该方案被视为无量纲使用随机振动理论，因为基础激励被认为是一个平稳的白色噪声高斯过程。为了考虑表征许多真实的振动现象的非均匀频率内容，使用简单的线性滤波器对输入进行适当着色。采用协方差法计算系统响应统计量，得到系统参数的协方差矩阵和不同滤波器和系统配置下的电功率均值。因此，机械和电力系统的周期之间的最佳比率被定义为最大化的平均功率值。该比率是在图形表示中针对某些测试用例以数值方式获得的，以评估对所选参数的灵敏度响应。
The problem treated in this paper is the optimal electromechanical setting of energy harvesters working with vibrations of random nature. We consider a simple system composed of two parts; one electrical circuit with a mechanical single-degree-of-freedom system, coupled to a piezoelectric element. The electric circuit is modeled as a simple one, composed of a resistance and a capacity only, while a linear viscoelastic model is used for the mechanical element. The only joint electro and mechanical element is the piezoelectric device, which is controlled by both the mechanical velocity and the electrical tension. This scheme is treated as dimensionless using the random vibration theory since the base excitation is considered as a stationary white noise Gaussian process. To consider the non-uniform frequency content, that characterizes many real vibration phenomena, the input is properly colored using simple linear filters. System response statistics is evaluated by covariance approach, producing both covariance matrix of system parameters and mean value of electric power under different filters and systems configurations. The optimal ratio between the periods of the mechanical and electric systems is thus defined maximizing the mean power value. This ratio is obtained numerically for some test cases in a graphic representation to evaluate the sensitivity response to selected parameters.
影响因子：
4
作者：
Khovanova, N. A.;Khovanov, I. A.
通讯作者：
Khovanov, I. A.