Identification of multi-mass mechanical systems in electrical drives

Author

Luczak, Dominik ; Nowopolski, Krzysztof

Author_Institution

Inst. of Control & Inf. Eng., Poznan Univ. of Technol., Poznan, Poland

fYear

2014

fDate

3-5 Dec. 2014

Firstpage

275

Lastpage

282

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.

Keywords

elasticity; electric drives; mechanical engineering computing; parameter estimation; signal processing; spectral analysis; ARX identification model; OE identification model; chirp wave excitation signal; elastic connection; electrical drive; frequency response data; mechanical resonance parameter identification; multimass mechanical system; pseudorandom binary signal excitation; spectral analysis; two-mass electrical drive system; Chirp; Mathematical model; Mechanical systems; Permanent magnet motors; Resonant frequency; Shafts; Transfer functions; ARX; OE; chirp signal; electric drive; multi-mass; pseudo-random binary signal; system identification; two-mass;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics - Mechatronika (ME), 2014 16th International Conference on

Conference_Location

Brno

Print_ISBN

978-80-214-4817-9

Type

conf

DOI

10.1109/MECHATRONIKA.2014.7018271

Filename

7018271