Rotating blade vibration parameter identification based on genetic algorithm
In this paper, aiming at the identification of blade vibration parameters such as constant speed synchronization, constant speed asynchronous, and variable speed synchronization, the simulation platform Simulink is used to model the blade vibration system, and the blade tip timing vibration measurem...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-10-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132231207153 |
| _version_ | 1797648776833269760 |
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| author | Shen Xiangxiang Chen Guo Liu Fuhai |
| author_facet | Shen Xiangxiang Chen Guo Liu Fuhai |
| author_sort | Shen Xiangxiang |
| collection | DOAJ |
| description | In this paper, aiming at the identification of blade vibration parameters such as constant speed synchronization, constant speed asynchronous, and variable speed synchronization, the simulation platform Simulink is used to model the blade vibration system, and the blade tip timing vibration measurement system model is constructed. A method of blade vibration parameter identification based on genetic algorithm is proposed, and numerical simulation and experimental verification are carried out. The results show that the parameter identification of blade vibration by genetic algorithm has high accuracy and strong anti-noise interference ability. The influence of key parameters on the identification of blade vibration parameters is studied. For the constant speed synchronous and constant speed asynchronous vibration of the blade, the angle between the sensors should not be an integral multiple of 2π as far as possible, and the larger DR (Distribution Range) value should be guaranteed. The higher the frequency doubling of blade vibration, the more sensors are needed. For the variable speed synchronous vibration of the blade, the frequency doubling is greater than the influence of the sensor layout on the parameter identification results, but the number of sensors is too small, which will seriously affect the identification accuracy of the frequency doubling. Aiming at the blade vibration test, a blade vibration tester is designed. The blade variable speed synchronous vibration test is carried out by using the strain gauge method and the tip timing method. The measurement results of the strain gauge method are basically consistent with the measurement results based on the genetic algorithm and the tip timing. |
| first_indexed | 2024-03-11T15:36:55Z |
| format | Article |
| id | doaj.art-1b21e7560d444c5691f001466d21187a |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-03-11T15:36:55Z |
| publishDate | 2023-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-1b21e7560d444c5691f001466d21187a2023-10-26T15:33:26ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402023-10-011510.1177/16878132231207153Rotating blade vibration parameter identification based on genetic algorithmShen Xiangxiang0Chen Guo1Liu Fuhai2College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Liyang, ChinaCollege of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Liyang, ChinaIn this paper, aiming at the identification of blade vibration parameters such as constant speed synchronization, constant speed asynchronous, and variable speed synchronization, the simulation platform Simulink is used to model the blade vibration system, and the blade tip timing vibration measurement system model is constructed. A method of blade vibration parameter identification based on genetic algorithm is proposed, and numerical simulation and experimental verification are carried out. The results show that the parameter identification of blade vibration by genetic algorithm has high accuracy and strong anti-noise interference ability. The influence of key parameters on the identification of blade vibration parameters is studied. For the constant speed synchronous and constant speed asynchronous vibration of the blade, the angle between the sensors should not be an integral multiple of 2π as far as possible, and the larger DR (Distribution Range) value should be guaranteed. The higher the frequency doubling of blade vibration, the more sensors are needed. For the variable speed synchronous vibration of the blade, the frequency doubling is greater than the influence of the sensor layout on the parameter identification results, but the number of sensors is too small, which will seriously affect the identification accuracy of the frequency doubling. Aiming at the blade vibration test, a blade vibration tester is designed. The blade variable speed synchronous vibration test is carried out by using the strain gauge method and the tip timing method. The measurement results of the strain gauge method are basically consistent with the measurement results based on the genetic algorithm and the tip timing.https://doi.org/10.1177/16878132231207153 |
| spellingShingle | Shen Xiangxiang Chen Guo Liu Fuhai Rotating blade vibration parameter identification based on genetic algorithm Advances in Mechanical Engineering |
| title | Rotating blade vibration parameter identification based on genetic algorithm |
| title_full | Rotating blade vibration parameter identification based on genetic algorithm |
| title_fullStr | Rotating blade vibration parameter identification based on genetic algorithm |
| title_full_unstemmed | Rotating blade vibration parameter identification based on genetic algorithm |
| title_short | Rotating blade vibration parameter identification based on genetic algorithm |
| title_sort | rotating blade vibration parameter identification based on genetic algorithm |
| url | https://doi.org/10.1177/16878132231207153 |
| work_keys_str_mv | AT shenxiangxiang rotatingbladevibrationparameteridentificationbasedongeneticalgorithm AT chenguo rotatingbladevibrationparameteridentificationbasedongeneticalgorithm AT liufuhai rotatingbladevibrationparameteridentificationbasedongeneticalgorithm |