Blade Modal Parameter Identification Based on Fiber Strain Sensing and Fitting Circle Method

The dynamic response characteristics of civil aircraft are closely related to aerodynamic load, rotor speed, flight attit ude and other parameters under specific flight conditions. Ther efore, real-time identification of rotor blade dynamic modal pa rameters is of great significance for evaluating flight conditions and ensuring. flight safety. Therefore, this paper proposes a ne w method of rotor blade modal parameter identification based on fiber optic strain sensing and fitting circle method. The fiber Bragg grating (FBG) sensor is used to collect the blade vibratio n strain signal in real time, and the fitting circle method is combined to identify the modal parameters. The system frequency response error function matrix based on the strain response ch aracteristics is derived, and the fitting circle model including th e correlation coefficient of blade frequency response function is constructed. By solving the best fitting circle parameters, the i dentification of structural modal parameters is realized. On thi s basis, a composite blade modal parameter identification syste m based on quasi-distributed fiber strain sensing is constructed, and the vibration responses of 10 FBG sensors on the blade are collected under different working conditions. The natural freq uency and damping ratio of the blade are identified by the expe rimental method, and the corresponding modal pattern is recon structed. The research results break through the limitations of the normal-scale state parameter identification method, such as weak anti-noise interference, low resolution, false mode and di fficulty in order determination, which is helpful to improve the modal parameter identification accuracy and reduce the influe nce of noise.

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Published
2024-10-11
DOI
https://doi.org/10.1109/phm-beijing63284.2024.10874726
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.26

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article

Blade Modal Parameter Identification Based on Fiber Strain Sensing and Fitting Circle Method

Yinxuan Zhang, Jinpeng Cui, Yangyang Zhu, H.W. Yang et al.
1 citations
Structural Health Monitoring Techniques
0.26
article

Blade Modal Parameter Identification Based on Fiber Strain Sensing and Fitting Circle Method

Yinxuan Zhang, Jinpeng Cui, Yangyang Zhu, H.W. Yang, Minqiang Shao, Fan Shao, Jie Zeng
article en
1 citations

Abstract

The dynamic response characteristics of civil aircraft are closely related to aerodynamic load, rotor speed, flight attit ude and other parameters under specific flight conditions. Ther efore, real-time identification of rotor blade dynamic modal pa rameters is of great significance for evaluating flight conditions and ensuring. flight safety. Therefore, this paper proposes a ne w method of rotor blade modal parameter identification based on fiber optic strain sensing and fitting circle method. The fiber Bragg grating (FBG) sensor is used to collect the blade vibratio n strain signal in real time, and the fitting circle method is combined to identify the modal parameters. The system frequency response error function matrix based on the strain response ch aracteristics is derived, and the fitting circle model including th e correlation coefficient of blade frequency response function is constructed. By solving the best fitting circle parameters, the i dentification of structural modal parameters is realized. On thi s basis, a composite blade modal parameter identification syste m based on quasi-distributed fiber strain sensing is constructed, and the vibration responses of 10 FBG sensors on the blade are collected under different working conditions. The natural freq uency and damping ratio of the blade are identified by the expe rimental method, and the corresponding modal pattern is recon structed. The research results break through the limitations of the normal-scale state parameter identification method, such as weak anti-noise interference, low resolution, false mode and di fficulty in order determination, which is helpful to improve the modal parameter identification accuracy and reduce the influe nce of noise.

Aviation Industry Corporation of China (China) (CN), Commercial Aircraft Corporation of China (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 41%
Structural Health Monitoring Techniques
0.26
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