• DocumentCode
    724310
  • Title

    Suppression of servo system mechanical resonance based on adaptive IIR notch filter

  • Author

    Na Li ; Shi-hua Li

  • Author_Institution
    Key Lab. of Meas. & Control of Complex Syst. of Eng., Minist. of Educ., Southeast Univ., Nanjing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    3418
  • Lastpage
    3423
  • Abstract
    In actual servo system, the transmission mechanism is not an ideal rigid body, and mechanical resonance easily occurs. In this paper, the transmission mechanism of servo system is equivalent to a torsion spring, and the entire flexible connection servo system is simplified into a motor-spring-load two-mass system, then the mathematical model of the flexible connection servo system is established through theoretical analysis. Since the mechanical resonant frequency of the system will change with time and environment, the parameters of notch filter must be adjusted online with the resonant frequency. In this paper, according to the application requirements of mechanical resonance online suppressing, the mechanical resonance online suppressing algorithm based on adaptive IIR notch filter is proposed. Using a recursive least squares algorithm, resonant frequency of the system is online estimated, and then the frequency parameters of notch filter are adjusted online. The simulation results show the effectiveness of this method.
  • Keywords
    IIR filters; adaptive filters; least squares approximations; notch filters; power transmission (mechanical); resonance; servomechanisms; springs (mechanical); torsion; adaptive IIR notch filter; flexible connection servo system; mechanical resonance online suppressing algorithm; mechanical resonant frequency; motor-spring-load two-mass system; notch filter parameters; recursive least square algorithm; servosystem mechanical resonance suppression; torsion spring; transmission mechanism; Algorithm design and analysis; Conferences; Electronic mail; Industrial electronics; Notch filters; Resonant frequency; Servomotors; Adaptive IIR Notch Filter; Mechanical Resonance; Online suppression; Recursive Least Squares Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162513
  • Filename
    7162513