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曲线拟合频域分解法在颤振试飞中的应用
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  • 英文篇名:Applications of curve-fitting frequency domain decomposition method in the aircraft flutter fight test
  • 作者:刘立坤 ; 霍幸莉 ; 王东森 ; 卢晓东
  • 英文作者:LIU Li-kun;HUO Xing-li;WANG Dong-sen;LU Xiao-dong;Aircraft Flight Test Technology Institute,CFTE;
  • 关键词:曲线拟合频域分解法 ; 模态参数辨识 ; 颤振飞行试验
  • 英文关键词:curve-fitting frequency domain decomposition method;;modal parameters identification;;flutter flight test
  • 中文刊名:FHLX
  • 英文刊名:Flight Dynamics
  • 机构:中国飞行试验研究院飞机所;
  • 出版日期:2018-09-21 15:20
  • 出版单位:飞行力学
  • 年:2019
  • 期:v.37;No.165
  • 语种:中文;
  • 页:FHLX201901017
  • 页数:4
  • CN:01
  • ISSN:61-1172/V
  • 分类号:88-91
摘要
研究了曲线拟合频域分解法在颤振试飞数据处理中的应用技术,讨论了由旋转部件引起的谐波分量对模态参数辨识精度的影响。对仿真信号和颤振飞行试验实际信号应用不同的数据处理方法进行对比。分析结果表明,曲线拟合频域分解法能够有效去除结构响应中的谐波分量,提高了试飞数据处理结果的准确性,具有一定的工程实用性。
        The application of curve-fitting frequency domain decomposition method is studied in the data process of the aircraft flutter flight test,and the influence of harmonic components which is caused by the rotating parts in the modal parameters identification is discussed. Simulation signal and flutter flight test signal are compared by using different data process methods. Results show that the curve-fitting frequency domain decomposition method can effectively remove harmonic components of the structural response,improve the accuracy of the data process and has certain engineering practicality.
引文
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