• DocumentCode
    2850014
  • Title

    Optimal H∞ control for hard disk drives with an irregular sampling rate

  • Author

    Jianbin Nie ; Sheh, E. ; Horowitz, R.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    5382
  • Lastpage
    5387
  • Abstract
    This paper discusses the optimal H∞ control syn thesis via discrete Riccati equations for hard disk drives (HDDs) with an irregular sampling rate. A HDD servo system with an irregular sampling rate, caused by missing position error signal sampling data, is modeled as a linear periodically time varying (LPTV) system. An optimal H∞ track-following control algorithm for HDD servo systems with irregular sampling rates is proposed, which is based on the previous H∞ synthesis results for LPTV systems developed by some of the authors. A simulation and implementation study demonstrates that the proposed control synthesis technique is able to handle the irregular sampling rate and can be used to conveniently design a loop-shaping track-following servo that achieves the robust performance of a desired error rejection function for disturbance attenuation. Implementation results on an actual hard disk drive validate the simulation results.
  • Keywords
    H∞ control; Riccati equations; control system synthesis; disc drives; hard discs; linear systems; periodic control; servomechanisms; time-varying systems; HDD servo system; LPTV; discrete Riccati equations; disturbance attenuation; error rejection function; hard disk drives; irregular sampling rates; linear periodically time varying system; loop-shaping track-following servo; missing position error signal sampling data; optimal H∞ control synthesis; optimal H∞ track-following control algorithm; Adaptive optics; Biological system modeling; Integrated optics; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990983
  • Filename
    5990983