改进的HHT及其在颤振试验数据处理中的应用  

Application of Hilbert Huang Transform in Flight Flutter Testing Data Processing

作　　者：廖振洋[1] 郑华[1] 裴承鸣[1] 谭博[1] 

机构地区：[1]西北工业大学,陕西西安710072

出　　处：《计算机仿真》2013年第2期265-268,342,共5页Computer Simulation

摘　　要：颤振试验数据往往具有信噪比低、模态密集及非平稳现象严重等特点,对数据处理精度提出较高的要求。为精确提取颤振模态参数,对颤振边界进行准确预测,提出了一种改进的希尔伯特黄变换算法,算法首先对测试信号进行移频处理,降低模态混叠程度,然后进行EMD分解,并对分解结果进行希尔伯特变换得到相应的瞬时幅值和瞬时相位,最后通过曲线拟合识别颤振模态参数。通过理论分析和数值仿真完成相应的特性研究,并采用实测颤振试验数据进行了分析验证,结果表明,改进的希尔伯特黄变换方法可以较精确地提取颤振模态参数和预测颤振临界速度,从而满足现行颤振试验数据处理的要求。The data from flutter tests are usually characterized by low SNR, model - intensive and serious non - stationary, which put forward the high requirements for data processing. Focusing on this, an improved Hilbert Huang transform algorithm was presented in this paper to extract the flutter model parameters and predict the flutter boundary. At first, the data were processed by frequency shift to reduce the modal mixing, and then separated using empirical mode decomposition （EMD）, from which modal parameters can be extracted. The corresponding characteristics were analyzed through the theoretical study and numerical simulation, and the measured data were used to test as well. The results show that the proposed method can extract the flutter model parameters and predict the flutter speed more accurately, which is capable of the current flutter test data processing.

关 键 词：希尔伯特黄变换 经验模态分解 模型分析 颤振边界预测 

分 类 号：TN911.7[电子电信—通信与信息系统]