GLOBAL PARAMETER ESTIMATION USING RATIONAL FRACTION POLYNOMIALS

摘要

This paper describes two methods to identify global modal parameters from a set of measured Frequency Response functions. Included is a theoretical development of each approach and a comparison of the results obtained from the analysis of a test structure. Both methods are based on the Rational Fraction polynomial curve fitter previously presented [3]. The first method calculates global pole locations by individually curve fitting each frequency response function, and then identifying the mean location of the resulting cluster of pole estimates in the s-plane. The second method is a logical expansion of the original curve fitter, and uses a least-squares error estimation from the whole set of measured data to estimate the global pole locations.