An algorithm is presented which accurately identifies multi-input-multi-output systems characterized by vibrating structures. More specifically, an identification technique is integrated with an optimal estimator in order to develop an algorithm which is robust with respect to measurement and process noise. The unique functional form of the integrated approach utilizes systems described by second-order models. Therefore, theoretical mass, damping, and stiffness matrices, associated with lumped parameter models, are tailored with experimental time-domain data for system estimation and identification. This leads to an algorithm that is computationally efficient, producing realizations of complex multiple degree-of-freedom systems. The combined estimation/identification algorithm is used to identify the properties of an actual flexible truss from experimental data. Comparison of experimental frequency-domain data to the predicted model characteristics indicates that the integrated algorithm produces near-minimal realizations coupled with accurate modal properties.
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January 1997
Research Papers
Integrated Estimation/Identification Using Second-Order Dynamic Models
J. L. Crassidis,
J. L. Crassidis
NASA-Goddard Space Flight Center, Greenbelt, MD 20771
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D. J. Mook
D. J. Mook
Dept. of Mech. and Aero. Engr., State University of New York at Buffalo, Buffalo, NY 14260
Search for other works by this author on:
J. L. Crassidis
NASA-Goddard Space Flight Center, Greenbelt, MD 20771
D. J. Mook
Dept. of Mech. and Aero. Engr., State University of New York at Buffalo, Buffalo, NY 14260
J. Vib. Acoust. Jan 1997, 119(1): 1-8 (8 pages)
Published Online: January 1, 1997
Article history
Received:
February 1, 1993
Online:
February 26, 2008
Citation
Crassidis, J. L., and Mook, D. J. (January 1, 1997). "Integrated Estimation/Identification Using Second-Order Dynamic Models." ASME. J. Vib. Acoust. January 1997; 119(1): 1–8. https://doi.org/10.1115/1.2889682
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