| Issue |
MATEC Web of Conferences
Volume 16, 2014
CSNDD 2014 - International Conference on Structural Nonlinear Dynamics and Diagnosis
|
|
|---|---|---|
| Article Number | 08001 | |
| Number of page(s) | 5 | |
| Section | Analytical method in nonlinear dynamics | |
| DOI | https://doi.org/10.1051/matecconf/20141608001 | |
| Published online | 01 September 2014 | |
Stability Analysis of Periodic Orbits in a Class of Duffing-Like Piecewise Linear Vibrators
1 Dept. of Electronics, Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, Tarragona, Spain
2 Dept. de Física Aplicada, Universitat Politècnica de Catalunya UPC, Barcelona, Spain
3 Mechanical Engineering Department King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
4 Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Saudi Arabia.
a e-mail: abdelali.elaroudi@urv.cat
In this paper, we study the dynamical behavior of a Duffing-like piecewise linear (PWL) springmass-damper system for vibration-based energy harvesting applications. First, we present a continuous time single degree of freedom PWL dynamical model of the system. From this PWL model, numerical simulations are carried out by computing frequency response and bifurcation diagram under a deterministic harmonic excitation for different sets of system parameter values. Stability analysis is performed using Floquet theory combined with Fillipov method.
© Owned by the authors, published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.