Improved total least squares estimators for modal analysis

Nowadays, modal analysis has become a common tool for studying the dynamical behaviour of complex mechanical structures. However, the analysis of extensive data sets, that are obtained during high channel-count modal testing, requires additional efforts for the development of dedicated modal parameter estimation methods. The present paper discusses an efficient formulation of a frequency-domain total least squares identification approach for the field of experimental modal analysis. In particular the performance for high model orders and efficient computational properties are discussed and illustrated using experimental data. The evaluation is based on a practical case study, discussing the dynamical modelling of slat tracks of an Airbus A320 commercial aircraft. This safety critical component is characterized by a complex modal behaviour requiring both high model orders and a high spatial resolution in order to achieve an accurate model.