Paper
1 May 1996 Identifying damping of a subsystem by two inverse-dynamics methods
Daniel J. Segalman, Clark R. Dohrmann, James A. Kearns
Author Affiliations +
Abstract
A strategy is presented to develop computationally efficient models for a class of structures containing nonlinearities. Those structures are ones for which the predominant nonlinearity is in the interfaces of linear subsystems. In those cases, one hopes to achieve low order models for the linear subsystems coupled with simplistic models for the interfaces. The theme of this paper is that of deducing the properties of the nonlinear interfaces by examining the properties of the full nonlinear structure in light of the known properties of the linear subsystems. Situations where such problems arise include those where the nonlinearity derives from sliding friction or stick-slip friction. Those conditions can seriously compromise system performance if not addressed adequately, occasionally leading to either sloppy control or complete loss of stability. It is the problem of identifying those nonlinear subsystems that is addressed here.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel J. Segalman, Clark R. Dohrmann, and James A. Kearns "Identifying damping of a subsystem by two inverse-dynamics methods", Proc. SPIE 2720, Smart Structures and Materials 1996: Passive Damping and Isolation, (1 May 1996); https://doi.org/10.1117/12.239107
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KEYWORDS
Complex systems

Fourier transforms

Systems modeling

Computer programming

Control systems

Linear filtering

Dynamical systems

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