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| Model Parameters Identification of Short Data Sequence Based onLeft Matrix Fraction Description |
SUN Xinhui;ZHANG Lingmi;Wang Tong
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| （Institute of Vibration Engineering, Nan jing University of Aeronautics and Astronautics, Nanjing 210016, China） |
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Abstract Owing to the FRF cannot be estimated exactly when only a limited test data is available, classical modal
parameters identification algorithms using FRF as primary data are not suit anymore. Focusing on the problems, a
modal parameters identification algorithm based on left matrix fraction description of FRF is proposed. The
algorithm uses FFT spectrum of input and output data as primary data. The modal parameters are achieved by using
LS estimator. The bad numerical condition of matrix can be avoided in Z domain. Considering the feature of left
matrix fraction description, a construction method of stabilization diagram is presented by principal component
analysis (PCA). A simulation case of GARTEUR model is employed to validate the algorithm.
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Received: 17 April 2009
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2009, Vol. 28 
