@inproceedings{59759a6f4135401fab38908f30747ee8,
title = "Fast identification of resonance characteristic for 2-mass system with elastic load",
abstract = "Servo system is greatly influenced by mechanical resonance. The offline suppression of mechanical resonance is determined by the identification of mechanical resonance characteristic. The resonance characteristic can be obtained from the Bode diagram of current closed-loop. This paper discusses two methods of fast acquirement to get resonant characteristic based on pseudo random binary sequence (PRBS) and Chirp signals. Power spectrum method is used to process data. According to the identified frequency, the parameter of notch filter is determined. The results of simulation and experiment demonstrate the accuracy of this method and the suppression effect based on this method.",
keywords = "Chirp Signals, Identification of Resonance Characteristic, Pseudo Random Binary Sequence, Servo System",
author = "Ming Yang and Liang Hao and Dianguo Xu",
year = "2014",
doi = "10.1109/IPEC.2014.6870140",
language = "英语",
isbn = "9781479927050",
series = "2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014",
publisher = "IEEE Computer Society",
pages = "3174--3178",
booktitle = "2014 International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014",
address = "美国",
note = "7th International Power Electronics Conference, IPEC-Hiroshima - ECCE Asia 2014 ; Conference date: 18-05-2014 Through 21-05-2014",
}