Title :
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
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;
Conference_Titel :
Mechatronics - Mechatronika (ME), 2014 16th International Conference on
Conference_Location :
Brno
Print_ISBN :
978-80-214-4817-9
DOI :
10.1109/MECHATRONIKA.2014.7018271
