DocumentCode
1774704
Title
Fast identification of resonance characteristic for 2-mass system with elastic load
Author
Ming Yang ; Liang Hao ; Dianguo Xu
Author_Institution
Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
fYear
2014
fDate
18-21 May 2014
Firstpage
3174
Lastpage
3178
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
elasticity; mechanical engineering computing; notch filters; servomechanisms; signal processing; 2-mass system; Bode diagram; Chirp signals; PRBS; elastic load; mechanical resonance characteristic identification; notch filter parameter; power spectrum method; pseudorandom binary sequence; servo system; suppression effect; Analytical models; Chirp; Control design; Damping; Inverters; Pulse width modulation; Resonant frequency; Chirp Signals; Identification of Resonance Characteristic; Pseudo Random Binary Sequence; Servo System;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE-ASIA), 2014 International
Conference_Location
Hiroshima
Type
conf
DOI
10.1109/IPEC.2014.6870140
Filename
6870140
Link To Document