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最小二乘复频域法实复系数矩阵的分析 被引量:4

Analysis of Real and Complex Coefficient Matrices Using Least-square Complex Frequency Domain Method
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摘要 最小二乘复频域法是近年来提出的频域模态识别的方法,该方法在强阻尼、弱阻尼下都具有很好的识别结果。依据最小二乘复频域法的理论与方法,其系数矩阵有两种形式:实系数矩阵形式、复系数矩阵形式。利用Matlab对最小二乘复频域法进行编程,并编制交互式的软件界面。指出最小二乘复频域法在两种系数矩阵下的参数设置,以及系统极点的求解修正公式。通过对铝板的实验分析,表明在两种系数矩阵下分析结果的一致性,并且复系数矩阵具有更好的数值条件,同时验证了程序的正确性。 In recent years, the least-square complex frequency-domain (LSCF) method for modal parameter identification has been developed. This method is proved to be effective in modal identification both in weak damping systems and strong damping systems. According to the theory and method of LSCF, there are two kinds of the coefficient matrix, namely real coefficient matrix and complex coefficient matrix. In this paper, the LSCF method was programmed and the corresponding user' s interface was designed using Matlab. The parameter set of the LSCF method in the two kinds of coefficient matrix and the improvement formula for the solution of system pole were provided. A test of aluminum sheets was accomplished to verify this method. It shows that the results from the two coefficient matrices are in consistency, but the complex coefficient has better numerical condition than the other. The correctness of the user' s interface was also verified.
出处 《噪声与振动控制》 CSCD 2013年第3期21-25,共5页 Noise and Vibration Control
关键词 振动与波 模态识别 最小二乘复频域法 系数矩阵 稳态图 交互界面 vibration and wave modal parameter estimation least-squares complex frequency-domain coefficient matrixes stabilization diagram user interface
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  • 1沃德·海伦.模态分析理论与试验[M].北京:北京理工大学出版社,2001.127-142.
  • 2Peeters B, Van Der Auweraer H, Guillaume P, et al. The poly MAX frequency-domain method: a new standard for modal parameter estimation[J]. Shock and Vibration, 2004, 11 : 395-409.
  • 3Peeters B, Guillaume P. Automotive and aerospace applications of the LMS poly MAX modal parameter estimation method [C]// Proc of the 22 th International Modal Analysis Conference, Dearborn, USA, January, 2004.
  • 4Guillaume P, Verboven P, Vanlanduit S, et al. A poly-reference implementation of the least- squares complex frequency domain estimator[C]//Proc of the 21 th International Modal Analysis Conference. Kissimmee, USA, February, 2003.
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