• DocumentCode
    2459185
  • Title

    Adaptive disturbance rejection in the presence of uncertain resonance mode in hard disk drives

  • Author

    Hong, Fan ; Du, Chunling ; Tee, Keng Peng ; Ge, S.S.

  • Author_Institution
    Data Storage Inst., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    3244
  • Lastpage
    3249
  • Abstract
    An adaptive on-line scheme is designed to identify the uncertain and time-varying resonance modes in hard disk drive servo systems. Based on the identified results, the uncertain resonance mode is extracted and a peak filter is designed accordingly to provide stronger capability of disturbance suppression. The scheme does not require any extra excitation signal nor additional signal processing for the parameter identification. Compared to conventional method, the rates of learning and error convergence are greatly increased. The scheme can provide good stability margin at high frequency subject to the variation of the resonance frequency and the peak gain. Simulation results show the validity and effectiveness of the proposed scheme.
  • Keywords
    disc drives; filtering theory; hard discs; parameter estimation; signal processing; stability; time-varying systems; adaptive disturbance rejection; adaptive online scheme; disturbance suppression; error convergence; excitation signal; hard disk drive servo systems; hard disk drives; parameter identification; peak filter design; resonance frequency; signal processing; stability margin; time-varying resonance modes; uncertain resonance mode; Convergence; Filters; Frequency; Hard disks; Parameter estimation; Resonance; Servomechanisms; Signal processing; Stability; Time varying systems; Disturbance rejection; adaptive control; hard disk drive; peak filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5159870
  • Filename
    5159870