Author(s)

P. Gutowski, S. Berczynski

Abstract

The use of sensitivity analysis for selection of decision variables in machine tool dynamic models identification P. Gutowski, S. Berczyriski Mechanical Engineering Faculty, Technical University of Szczecin, Poland Abstract A method of creating the dynamic models of machine tool supporting systems and identification of their parameters is presented in this paper. The basic mathematical equations are given. The task of the appropriate selection of the model parameters for the identification is described in detail. This problem is solved with the use of sensitivity analysis of the machine tool model frequency characteristics to changes in the model parameters. This analysis enables the proper selection of the decision variables, i.e. selection of those parameters of the model which can be identified on the basis of information contained in the experimentally determined frequency response characteristics of an object that have been chosen as the bases for the model identification. The

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