PEÑA ROSSELLÓ JULIÁN IGNACIO
Congresos y reuniones científicas
Título:
Harvesting energy from fat-tail random vibrations
Autor/es:
JULIÁN IGNACIO PEÑA ROSSELLÓ; MATÍAS DELL'ERBA; ROBERTO R. DEZA; JUAN IGNACIO DEZA; HORACIO S. WIO
Lugar:
Como
Reunión:
Conferencia; Nonlinear Dynamics of Electronic Systems (NDES) 2015; 2015
Resumen:
In recent work [1], we have found strong evidence that nonlinear "springs" with square well-like dynamics are more ecient for piezoelectric energy harvesting from random vibrations the "fatter" their tail becomes, because they better prot from the large and
strongly self-correlated excursions of the environmental vibration process. We considered a 1D anharmonic oscillator mediating between a source of mechanical vibrations and a piezoelectric transducer, whose voltage V(t) = K_c x(t) is fed onto a load circuit with resistance R and capacitance Tau_p=R. The oscillator (mass m, damping constant gamma) undergoes the transducer´s back-reaction K_v V(t), and its autonomous dynamics is governed by U (x). The source of mechanical vibrations (to which it is coupled with strength ) is regarded as stochastic, producing a strongly colored instantaneous force (t).
strongly self-correlated excursions of the environmental vibration process. We considered a 1D anharmonic oscillator mediating between a source of mechanical vibrations and a piezoelectric transducer, whose voltage V(t) = K_c x(t) is fed onto a load circuit with resistance R and capacitance Tau_p=R. The oscillator (mass m, damping constant gamma) undergoes the transducer´s back-reaction K_v V(t), and its autonomous dynamics is governed by U (x). The source of mechanical vibrations (to which it is coupled with strength ) is regarded as stochastic, producing a strongly colored instantaneous force (t).
