This article presents a compact piezoelectric vibration energy harvester (VEH) using multiple nonlinear techniques to tuning the resonant frequency and broadening the bandwidth.
The sweeping-frequency measurement results show that the work frequency, bandwidth, and output-voltage of VEH depend on tuning of GBSS and excitation levels, indicating that the multiple nonlinear effects, such as Duffing-spring effect, impact effect, preload effect, and air elastic effect, have significant influence on the dynamic behaviors of VEH.
By mechanical adjusting the vertical gap between the spring-plate and the stopper-plate (GBSS), the VEH can realize tuning of the resonant frequency and the bandwidth by multiple nonlinear effects.
multiple nonlinear regression.
An adaptive, nonlinear tuning method called Iterative Feedback Tuning (IFT) was developed to tune the performance of the PI controller.
Two multiple nonlinear regression models were developed.
Moreover, the number of these nonlinear processes has to be small, as nonlinear signatures disappear with increasing superposition of multiple nonlinear processes [59], [60].
The use of multiple nonlinear time series techniques, however, suggests an alternative interpretation, namely deterministic chaos.
Importantly, neuronal circuits that show nonlinear tuning for ipsi- and contralateral fingers would become evident in an interaction effect between the 2 main factors.
Thus, we can conclude that the observed classification accuracy for the ipsilateral finger during bimanual actions depended on neural circuits with nonlinear tuning for ipsi- and contralateral actions.
