Multidimensional hidden slow variable tracking in a hierarchical dynamical system
Date of Original Version
In this paper, we present a novel method for multidimensional damage identification based on a dynamical systems approach to damage evolution. This approach does not depend on the knowledge of particular damage physics, and is appropriate for systems where damage evolves on much slower time scale then the directly observable dynamics. In an experimental context, the phase space reconstruction and locally linear models are used to quantify small distortions occurring in a dynamical system's phase space due to damage accumulation. These measurements are then related to the drifts in damage variables. A mathematical model of a harmonically driven cantilever beam in a force field of two battery-powered electromagnets is used to demonstrate validity of the method. It is explicitly demonstrated that an affine projection of the described damage metric accurately tracks the two competing damage processes. For practical damage identification purposes, the tracking data is analyzed using the proper orthogonal decomposition (POD) and optimal tracking (OT) methods. Both methods correctly identify the two dominant damage modes. However, the OT is more impervious to changes in fast-time dynamics and provides a significantly better signal-to-noise ratio. The OT-based damage observer is demonstrated to be within a linear transformation from the actual damage states.
American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
Chelidze, David. "Multidimensional hidden slow variable tracking in a hierarchical dynamical system." American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC 72, 2 (2003): 1079-1086. doi:10.1115/IMECE2003-41421.