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.
|Titolo:||Identification of Piezoelectric Energy Harvester Parameters Using Adaptive Models|
|Data di pubblicazione:||2018|
|Nome del convegno:||2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/EEEIC.2018.8494004|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|