Name
Abstract | ||
|---|---|---|
The availability of reliable analytical models is essential to the optimal design of energy harvesters and for the prediction of the system behavior. In this paper, we consider a low-input nonlinear system based on a flexible buckled beam forced in a bistable configuration. The harvester has been demonstrated to generate power in the excess of
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with the optimal resistive load of 15
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and a monotonic input with root-mean-square accelerations of 13.35 m/s
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>
. The power generated is suitable for powering low-power measurement systems or sensor nodes. This paper focuses on a methodology for the modeling of the mechanical dynamical behavior of the device subject to a periodic impulsive signal. A measurement protocol for the evaluation of system’s hidden quantities, the beam’s restoring force, and the beam’s displacement between its stable states is introduced. A second-order behavioral model with a nonlinear term representing the beam’s restoring force has been used. In order to model the nonlinearity, two different potential energy functions have been compared by fitting the models to the experimental data with different constrains, through a performance index evaluating the fitting error. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIM.2018.2882901 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Force,Vibrations,Mathematical model,Predictive models,Adaptation models,Switches,Particle beams | Restoring force,Bistability,Nonlinear system,System of measurement,Control theory,Optimal design,Electronic engineering,Potential energy,Beam (structure),Vibration,Mathematics | Journal |
Volume | Issue | ISSN |
68 | 5 | 0018-9456 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Andò | 1 | 3 | 6.60 |
| Salvatore Baglio | 2 | 100 | 49.47 |
| Vincenzo Marletta | 3 | 74 | 22.14 |
| Adi R. Bulsara | 4 | 39 | 18.57 |