| 张珺1，李立州2，罗骁2 ，李彩霞2，原梅妮2.识别信号对尾流激励的叶片气动力Volterra
降阶模型的影响[J].航空发动机,2018,44(1):39-43 |
| 识别信号对尾流激励的叶片气动力Volterra
降阶模型的影响 |
| Influence of Identification Signals on Volterra ROM of Blade Aerodynamic Forces Due to Upstream Wake |
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| DOI： |
| 中文关键词: Volterra 级数 核函数 尾流 叶片 气动力降阶模型 |
| 英文关键词:Volterra series kernel wake blade aerodynamic ROM |
| 基金项目:国家自然科学基金（51775518）资助 |
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| 中文摘要: |
| 针对涉及动、静叶干涉的叶片气动弹性振动问题，基于Volterra 级数方法，建立了尾流激励的叶片气动力降阶模型，分
析了稳态条件和识别信号幅值对气动力降阶模型辨识精度的影响。结果表明：所建立的气动力降阶模型能够正确表征尾流对叶片
的激励作用，不同流场稳态条件和阶跃信号幅值下气动力降阶模型的结果基本相同 |
| 英文摘要: |
| Aiming at the blade aeroelastic vibration problem of blade and vane interference, an blade aerodynamic Reduced Order
Moldel (ROM) of upstream wake was proposed based on Volterra series method. Then, the influence of the steady-state value and the
amplitude of identification signals on the accuracy of the aerodynamic ROM was analyzed. The results show that the ROM can correctly
show the wake motivate function on the blade, and the result of ROM under the value of steady-state of different flow field and amplitude of
step signals arebasically the same |
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