Modal Parameters Identification in Frequency Domain
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 .
MATLAB リリースの互換性
プラットフォームの互換性
Windows macOS Linuxタグ
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!