基于叶尖定时非接触式叶片振动测量技术，提出一种需要较少传感器又能提高测量精度的叶片同步振动参数分析方法。通过低转速到高转速运行过程，测量出叶片振动位移随转频变化之间的关系，根据非线性最小二乘拟合算法获得叶片谐共振点处的中心频率、振动最大幅值、相位、振动恒偏量，但无法获得叶片振动倍频值。对谐共振动点附近处的频率值进行恒速运转，不同位置处的传感器获得不同的振动位移，通过GARIV算法获得各叶片在对应谐共振频率点处的倍频值，结合扫频拟合获得的叶片振动参数可做出叶片坎贝尔图。基于以上的识别方法，提出了叶尖计时传感器的布置方法，并对实际测量中可能存在的干扰因素进行了详细的仿真分析，验证了方法的可行性。该辨识方法的实验验证将在《涡轮机叶片同步振动参数辨识方法研究(实验研究)》一文中给出。
Abstract
A new method used to identify the blade synchronous vibration parameters based on the blade tip-timing method and previous research in the actual environment. According to the relationship between the rotation speed and the blade vibration displacement, the parameters such as the frequency of resonance center, the amplitude of blade vibration, the initial phase are obtained by the nonlinear least square fitting algorithm. The blade assembly is operated at constant which is near the frequency of resonance center. Different blade vibration displace can be obtained by the sensors at different position, and the blade synchronous vibration Engine Order (EO) can be obtained by Global Autoregressive with Instrumental Variables (GARIV) method. The Campbell diagram of blade synchronous vibration can be made by parameters obtained by GARIV method and the sweep frequency fitting method. Verification of the method will provided in the latter experimental paper.
关键词
涡轮叶片 /
同步振动 /
参数辨识 /
叶尖定时(BTT) /
GARIV
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Key words
turbine blades /
synchronous vibration /
parameter identification /
Blade Tip-Timing /
GARIV method
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参考文献
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