The Improvement of Complex Mode Indication Function by Genetic Algorithms

• Main Authors: Tse-Hua Chang, 張哲華
• Other Authors: Albert Chin-Yuh Lin
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/58873997975678122668

碩士 === 逢甲大學 === 自動控制工程學系 === 88 === There have been many developed approaches of modal analysis which can divided into three group, namely, time domain methods, frequency domain methods and spatial domain methods. Among these approaches, Complex Mode Indication Function (CMIF) of the spatial domain method has the characteristics of direct identifying the mode, also is the advantage that have judgment system rank numbers. The main of this research is to identify the mode that continue with CMIF and improve the weakness of the CMIF method. The first is to apply the relation of frequency response function matrix and the singular value decomposition of frequency response function matrix to judge the range and the numbers of the unknown parameters, and then using the Peak-Identification Genetic Algorithm to estimate the unknown parameters. Finally, verify the robustness of this method by numerical simulation.