Modal Parameters Identification in Frequency Domain

Modal Parameters identification in frequency domain using LSCF and LSFD algorithm
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更新 2020/4/25

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This tool allows to identify modal parameters, eigenfrequency, modal damping factor and modal residues using complex Frequency Response Function (FRF) of a SISO system. The algorithm is based on
- the Linear Square Complex Frequency Estimator (LSCF) using discrete-time z-model
- the Least-Squares Frequency-Domain estimator (LSFD).

The choice of the identification order and the selection of the physical poles are assisted by a stabilization chart using frequency and damping convergence criteria. The stabilization chart can then be automatically interpreted.

The folder contains:

- A file example (file_example.m) based on a numerical 4 dofs system with low damping (OMG.mat, FRF.mat) or high damping (OMG.mat, FRF_hd.mat).

- the function time2frf.m allows to load time data (time, input, output) in .txt format and returns complex FRF and natural frequency vector.

- the function select_frf.m allows to select a part of the FRF in the specified frequency range.

- the function lscf.m estimates eigenfrequency and modal damping factor at specified order or using a stabilization chart in a specified order range and computes identified FRF using discrete z-model.

- the function select_stabchart.m allows to select physical stable poles in the stabilization chart.

- the function lsfd.m estimates complex residues and identified FRF using s-model.

- the function add_poles.m allows to add poles on the stabilization chart using round markers with color proportional to the modaldamping factor value.

引用

Baptiste Chomette (2024). Modal Parameters Identification in Frequency Domain (https://www.mathworks.com/matlabcentral/fileexchange/75191-modal-parameters-identification-in-frequency-domain), MATLAB Central File Exchange. 取得済み .

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作成: R2018b
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1.0.2

A few corrections in the function add_poles.m

1.0.1

A few corrections

1.0.0