Identification of multi-mass mechanical systems in electrical drives

Abstract

This paper presents methods for parameter identification of mechanical resonance of two-mass and multi-mass electrical drive system. The presented methods were applied in the field of parameter identification. Various identification setups are considered: different identification models (ARX and OE), sampling periods and models orders. Results for two different excitation signals are presented: pseudo random binary signal and chirp wave. Spectral analysis is used to calculate frequency response data of electric drive with elastic connection. The discussed methods of identification are verified by both simulation and laboratory stand test.