1. 中国飞行试验研究院
2. 西安航空学院飞行器学院
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王茜, 雷晓波. 旋转叶片异步振动参数辨识方法及试验验证[J]. 机械强度, 2021,(1):50-55.
王茜, 雷晓波. 旋转叶片异步振动参数辨识方法及试验验证[J]. 机械强度, 2021,(1):50-55. DOI: 10.16579/j.issn.1001.9669.2021.01.007.
基于叶尖定时原理和单自由度振动理论,利用全相位FFT (apFFT)和最小二乘法建立了叶片异步振动参数辨识算法,通过数值仿真验证了参数辨识算法的正确性,给出了传感器布置合理性的检验参数及经验值。采用高压氮气冲击叶片使叶片产生某一单频绝对占有的振动,在风扇转子试验器上开展了1 971 r/min、2 326 r/min两个异步转速下的振动参数辨识试验。结果表明:辨识方法均能准确辨识出叶片异步振动,且获得的不同叶片的振动频率完全相同;以叶片应变信号为基准,振动频率辨识误差最大为1.12%,频率辨识准确率高,验证了异步振动参数辨识方法的正确性。
Based on the principle of blade tip timing( BTT) and the vibration principle of one degree of freedom,the parameter identification algorithm of rotating blade asynchronous vibration is established by using all phase FFT( apFFT) and least square method.The algorithm is verified by numerical simulation,and the test parameter and empirical value of the rationality for sensor layout are given.The tests of asynchronous vibration parameter identification were launched on a fan rotor,while high pressure nitrogen was used to shock the blades to produce single frequency absolute occupancy vibration.Results show that the method for asynchronous vibration identification could accurately identify blade vibration parameters,and the vibration frequencies of all blades obtained are exactly the same.Frequency identification accuracy is high with the maximum relative error of 1.12% using strain analysis frequency as a baseline.Results verify that the method of asynchronous vibration parameter identification is correct.
叶片异步振动非接触测量参数辨识全相位FFT氮气冲击激励频率识别误差
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