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An identification method for oscillators with response-dependent inertia

Authors: Yuval Harduf; Eyal Setter; Izhak Bucher;

An identification method for oscillators with response-dependent inertia

Abstract

This paper is concerned with identifying the instantaneous modal parameters of forced oscillatory systems with response-dependent generalized inertia (mass, inductance, or equivalent) based on their measured dynamics. An identification method is proposed, which is a variation of the "FORCEVIB" method. The method utilizes analytic signal representation and the properties of the Hilbert transform to obtain an analytic relationship between a system's natural frequency and damping coefficient to its response and excitation signals. The proposed method is validated by comparing the identification results to the asymptotic solution of a simple system with response-dependent inertia and is then demonstrated, numerically and experimentally, for other more complicated nonlinear systems.

15 pages, 7 figures, revision submitted to Automatica addressing reviewer's comments

Keywords

linear/nonlinear models, FOS: Electrical engineering, electronic engineering, information engineering, Special integral transforms (Legendre, Hilbert, etc.), variable-mass systems, Systems and Control (eess.SY), identification methods, inductor saturation, System identification, Electrical Engineering and Systems Science - Systems and Control, Hilbert transform

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green