• 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