Research in Robust Frequency ResponseFunction Estimator

• Main Authors: Chun-Wei Chen, 陳俊維
• Other Authors: Chin-Yuh Lin
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/yuxaua

碩士 === 逢甲大學 === 自動控制工程所 === 90 === The purpose of this paper is to find a robust estimator for getting more precisely frequency response function (FRF) in the system. The traditional FRF estimators treat the system disturbance as Gaussian white noise rather than colored noise in reality. It causes the traditional FRF estimators being not efficiency for noise suppression. Therefore this research is to cite the concept of H_inf norm in robust control and using Nearly NP (Nevanlimma-Pick) Interpolation Algorithm to identify the real FRF. For comparison the robustness of the traditional FRF algorithm (Hv) and Nearly NP Interpolation Algorithm (Hnp), numerical simulation chooses a highly damped and highly coupled lumped system contaminated with the Gaussian white noise or colored noise as a test bench. Further, using this estimated frequency response functions evaluate system’s natural frequency and damping ratio by CMIF (Complex Mode Indication Function) algorithm. The results of system’s natural frequency and damping ratio show that Nearly NP Interpolation Algorithm is more robust than the traditional FRF estimator is.