• DocumentCode
    229999
  • Title

    A novel acceleration estimation algorithm for mechanical vibration suppression of two-mass system

  • Author

    Jie Jin ; Surong Huang

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    2066
  • Lastpage
    2070
  • Abstract
    Precise and timely acceleration obtaining is a key technology for mechanical vibration suppression by acceleration feedback. Adaptive windowing (AW) technique is used to develop a novel acceleration estimation algorithm for servo drive system with incremental encoder. Firstly, a first order function is presented to estimate velocity according to the discrete-time sampled information, and AW algorithm is proposed to minimize the estimated velocity error. Secondly, acceleration is obtained by partial differential to the first order fitting function. The algorithm has high accuracy at change-slow occasion and high dynamic response at change-rapid occasions because of the calculation step adjusted adaptively. Finally, a simulation experiment of two-mass system is studied, the mechanical vibration is diminished effectively by the feedforward of acceleration, and simulation results are shown to demonstrate the effectiveness of the proposed algorithm.
  • Keywords
    dynamic response; feedback; motor drives; servomechanisms; vibrations; AW technique; acceleration estimation algorithm; acceleration feedback; adaptive windowing technique; change-rapid occasions; change-slow occasion; discrete-time sampled information; estimated velocity error minimization; first order fitting function; high dynamic response; incremental encoder; mechanical vibration suppression; servo drive system; two-mass system; Acceleration; Accuracy; Estimation; Phase locked loops; Servomotors; Shafts; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013845
  • Filename
    7013845