• DocumentCode
    425596
  • Title

    Fabrication and optimal strain sensor placement in an instrumented disk drive suspension for vibration suppression

  • Author

    Oldham, Kenn ; Kon, Stanley ; Horowitz, Roberto

  • Author_Institution
    Comput. Mech. Lab., California Univ., Berkeley, CA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    June 30 2004-July 2 2004
  • Firstpage
    1855
  • Abstract
    Instrumenting a disk drive suspension with vibration sensing strain gages can enhance vibration suppression in hard disk drives, provided that the gages are properly located and are sufficiently sensitive. The cost function of an optimal LQG controller with Kalman filter is proposed as an objective function for determining the optimal location and orientation of displacement sensors on a flexible structure, such as the placement of strain gages on a disk drive suspension. Analytical bounds are derived for the Kalman filter Riccati equation in a modal system with large sensor noise. These bounds produce analytical approximations that reduce the computational complexity of the LQG optimization approach with cheap control. Results are applied to a prototype disk drive suspension to identify sensor positions and sensor requirements. Methods of installing strain gages on steel at precise locations are briefly discussed.
  • Keywords
    Kalman filters; Riccati equations; approximation theory; computational complexity; disc drives; flexible structures; linear quadratic Gaussian control; optimal control; strain sensors; vibration control; Kalman filter Riccati equation; computational complexity; cost function; displacement sensors; flexible structure; hard disk drives; instrumented disk drive suspension; optimal LQG controller; optimal strain sensor placement; prototype disk drive suspension; sensor noise; vibration sensing strain gages; vibration suppression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2004. Proceedings of the 2004
  • Conference_Location
    Boston, MA, USA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-8335-4
  • Type

    conf

  • Filename
    1386850