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Inverse design of nonlinearity in energy harvesters for optimum damping

Inverse design of nonlinearity in energy harvesters for optimum damping
Inverse design of nonlinearity in energy harvesters for optimum damping
This paper presents the inverse design method for the nonlinearity in an energy harvester in order to achieve an optimum damping. A single degree-of-freedom electro-mechanical oscillator is considered as an energy harvester, which is subjected to a harmonic base excitation. The harvester has a limited throw due to the physical constraint of the device, which means that the amplitude of the relative displacement between the mass of the harvester and the base cannot exceed a threshold when the device is driven at resonance and beyond a particular amplitude. This physical constraint requires the damping of the harvester to be adjusted for different excitation amplitudes, such that the relative displacement is controlled and maintained below the limit. For example, the damping can be increased to reduce the amplitude of the relative displacement. For high excitation amplitudes, the optimum damping is, therefore, dependent on the amplitude of the base excitation, and can be synthesised by a nonlinear function. In this paper, a nonlinear function in the form of a bilinear is considered to represent the damping model of the device. A numerical optimisation using Matlab is carried out to fit a curve to the amplitude-dependent damping in order to determine the optimum bilinear model. The nonlinear damping is then used in the time-domain simulations and the relative displacement and the average harvested power are obtained. It is demonstrated that the proposed nonlinear damping can maintain the relative displacement of the harvester at its maximum level for a wide range of excitation, therefore providing the optimum condition for power harvesting.
1742-6588
1-9
Ghandchi Tehrani, Maryam
c2251e5b-a029-46e2-b585-422120a7bc44
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567
Ghandchi Tehrani, Maryam
c2251e5b-a029-46e2-b585-422120a7bc44
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567

Ghandchi Tehrani, Maryam and Elliott, Stephen (2016) Inverse design of nonlinearity in energy harvesters for optimum damping. Journal of Physics: Conference Series, 744 (1), 1-9. (doi:10.1088/1742-6596/744/1/012075).

Record type: Article

Abstract

This paper presents the inverse design method for the nonlinearity in an energy harvester in order to achieve an optimum damping. A single degree-of-freedom electro-mechanical oscillator is considered as an energy harvester, which is subjected to a harmonic base excitation. The harvester has a limited throw due to the physical constraint of the device, which means that the amplitude of the relative displacement between the mass of the harvester and the base cannot exceed a threshold when the device is driven at resonance and beyond a particular amplitude. This physical constraint requires the damping of the harvester to be adjusted for different excitation amplitudes, such that the relative displacement is controlled and maintained below the limit. For example, the damping can be increased to reduce the amplitude of the relative displacement. For high excitation amplitudes, the optimum damping is, therefore, dependent on the amplitude of the base excitation, and can be synthesised by a nonlinear function. In this paper, a nonlinear function in the form of a bilinear is considered to represent the damping model of the device. A numerical optimisation using Matlab is carried out to fit a curve to the amplitude-dependent damping in order to determine the optimum bilinear model. The nonlinear damping is then used in the time-domain simulations and the relative displacement and the average harvested power are obtained. It is demonstrated that the proposed nonlinear damping can maintain the relative displacement of the harvester at its maximum level for a wide range of excitation, therefore providing the optimum condition for power harvesting.

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More information

Accepted/In Press date: 12 August 2016
e-pub ahead of print date: 30 September 2016
Published date: September 2016
Organisations: Signal Processing & Control Grp

Identifiers

Local EPrints ID: 399594
URI: http://eprints.soton.ac.uk/id/eprint/399594
ISSN: 1742-6588
PURE UUID: 07f11dc8-6f57-4f0e-9ec2-28f84b84e8af

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Date deposited: 22 Aug 2016 08:31
Last modified: 15 Mar 2024 05:50

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