• DocumentCode
    2437358
  • Title

    Impulsive disturbance rejection in hard disk drives

  • Author

    Gao, Tingting ; Du, Chunling ; Xie, Lihua ; Cai, Wenjian

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    738
  • Lastpage
    743
  • Abstract
    This paper proposes filtering methods to cancel the impulsive disturbance contained in position error signal (PES) in hard disk drives (HDDs). The impulsive disturbances may be observed as a few single sudden changes or some consecutive changes in PES. The filtering includes impulsive disturbance identification and estimation. A recursive method is used to determine the dynamic boundaries for identification. Two methods are proposed for estimation: a linear interpolation and an adaptive least mean square (LMS) algorithm. The former is used to estimate the normal PES directly and the later is used to estimate the impulsive disturbance for cancellation. It turns out that these methods are able to effectively cancel the impulsive disturbance and do not affect the servo performance.
  • Keywords
    disc drives; filtering theory; hard discs; impulse noise; interference suppression; interpolation; least mean squares methods; position control; recursive estimation; adaptive least mean square algorithm; filtering methods; hard disk drives; impulsive disturbance rejection; linear interpolation; position error signal; recursive method; Estimation; Frequency measurement; Least squares approximation; Noise; Servomotors; Upper bound; Adaptive LMS algorithm; Hard disk drives; Impulsive disturbance; Nonlinear filtering; Position error signal; Servo performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707802
  • Filename
    5707802