首页|虑及谐波耦合的对转桨扇不平衡辨识方法

虑及谐波耦合的对转桨扇不平衡辨识方法

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对转桨扇双螺旋桨转子系统中,振动信号经中介轴承在内、外转子间相互传递,产生复杂的耦合振动,通常表现为基频、倍频的拍振形式,造成振动信号辨识困难、动平衡效率低.传统最小二乘辨识方法仅考虑了基频信号,未虑及谐波及噪声的干扰,导致辨识精确度低.为解决该问题,提出一种虑及谐波信号的最小二乘法(HLSM),通过仿真实验对比了多种辨识方法与HLSM的辨识效果,验证HLSM的辨识精确度更高.在搭建的同轴对转双转子实验台上应用HLSM辨识结果进行双转子动平衡,结果显示内、外转子不平衡振动分别降低70%与96%.
Unbalanced identification method of counter rotating propeller fan considering harmonic coupling
In the double propeller rotor system of the counter rotating propeller fan,the vibration signals are transmitted between the inner and outer rotors through the intermediate bearings to generate complex coupling vibration,which usually takes the form of beat vibration of basic frequency and multiple frequency,resulting in difficult identification of vibration signals and low efficiency of dynamic balance.The conventional least square identification method only considered the basic frequency signal,but neglected the interference of harmonics and noise,resulting in low identification accuracy.In order to solve this problem,a harmonic least square method(HLSM)signal was proposed.Through simulation experiments,the identification effects of various identification methods and HLSM were compared,verifying that the identification accuracy of HLSM was higher.The results of HLSM identification were applied to double rotor dynamic balancing on the built coaxial counter rotating double rotor test-bed.The results showed that the unbalanced vibration of inner and outer rotors was reduced by 70%and 96%,respectively.

counter rotating propeller fancoupled vibrationunbalanced responsesignal identificationleast square methoddynamic balancing

龙昱达、陈立芳

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北京化工大学发动机健康监控及网络化教育部重点实验室,北京 100029

对转桨扇 耦合振动 不平衡响应 信号辨识 最小二乘法 动平衡

国家自然科学基金国家自然科学基金

5177503091860126

2024

航空动力学报
中国航空学会

航空动力学报

CSTPCD北大核心
影响因子:0.59
ISSN:1000-8055
年,卷(期):2024.39(8)