System Identification Methods Based on the Proper Orthogonal Decomposition
نویسنده
چکیده
The proper orthogonal decomposition is a powerful engineering analysis tool that has historically been used to reduce the dimension of large finite element models. The usefulness of this approach is limited because it requires the construction of a full-order finite element model. This research outlines a method for using experimental data to construct a system model that can be used to simulate a system’s response to various initial conditions without requiring a finite element model. This modeling approach is particularly powerful because it may even be applied to a nonlinear system to obtain the optimal linear model for the system. Sample models were created using this method for both linear and nonlinear beams and the responses to various initial conditions are compared with the response generated by full-order finite element models.
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