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Identification of Piezoelectric Energy Harvester Parameters Using Adaptive Models

机译:基于自适应模型的压电能量采集器参数辨识

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In this work, a dynamic system method is proposed to identify modal parameters of piezoelectric energy harvesting devices. A gradient based technique is implemented through which the identification problem can be approached as the design of a stable artificial dynamic system which equilibrium point provides the unknown parameters. The Lyapunov theory guarantees that this set of dynamic equations is characterized by an asymptotic convergence. Simulation studies are here reported to confirm the effectiveness of the proposed methodology for identifying unknown parameters of electromechanical vibration based energy harvesters. The sensitivity problem, resulting from the gradient based algorithm, is dealt with frequency and time domain procedures. The main advantage of the proposed strategy is that voltage measurements can directly be used for online parameter identification.
机译:在这项工作中,提出了一种动态系统方法来识别压电能量收集装置的模态参数。实施基于梯度的技术,通过该技术可以将识别问题作为平衡点提供未知参数的稳定人工动态系统的设计。李雅普诺夫理论保证了这组动力学方程的特征是渐近收敛。本文报道了模拟研究,以确认所提出的方法用于识别基于机电振动的能量收集器的未知参数的有效性。由基于梯度的算法引起的灵敏度问题可以通过频域和时域过程来解决。提出的策略的主要优点是电压测量值可以直接用于在线参数识别。

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