Abstract

Energy harvesting is a very promising technology to provide low levels of power for small autonomous systems, which the applicability encompass a very wide range of areas, that spans from micro/nano sensors in engineering to state of art implants in medicine. The present work deals with the analysis and detailed characterization of a nonlinear bi-stable piezo-magneto-elastic energy harvester driven by a periodic external excitation. The dynamical system is studied in depth through bifurcation diagrams and basins of attraction. The level of chaoticity of the dynamical system is accessed very efficiently via the 0-1 test for chaos, which allows mapping the presence of dense regions of chaos without the help of the Lyapunov exponents.

Highlights

  • Energy harvesting technologies are very promising alternatives for electrical supplying of low power systems, such as medical implants, micro electro-mechanical systems (MEMS), nano electromechanical systems (NEMS), etc [1, 2]

  • The present paper aims to investigate the nonlinear dynamics of the bi-stable piezo-magneto-elastic energy harvester by Erturk et al [9]

  • The dynamic system of interest is investigated via bifurcation diagrams and basins of attraction, where the latter are computed not in the traditional way, but with the aid of a binary test for chaos detection

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Summary

Introduction

Energy harvesting technologies are very promising alternatives for electrical supplying of low power systems, such as medical implants, micro electro-mechanical systems (MEMS), nano electromechanical systems (NEMS), etc [1, 2]. Such devices converts environmental energy, available for free, into electrical power to be used in the application of interest. The dynamic system of interest is investigated via bifurcation diagrams and basins of attraction, where the latter are computed not in the traditional way, but with the aid of a binary test for chaos detection. Bifurcation diagrams are presented, while an analysis with 0-1 test for chaos and basins of attraction is conducted in the fourth section. The fifth section, summarizes the paper main conclusions and contributions

Mathematical modeling
Model equations
Bifurcation diagrams
Basins of attraction
Findings
Final remarks
Full Text
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