• DocumentCode
    3299351
  • Title

    Optimal reset law design of reset control systems with application to HDD systems

  • Author

    Guo, Yuqian ; Wang, Youyi ; Xie, Lihua ; Li, Hui ; Gui, Weihua

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    5287
  • Lastpage
    5292
  • Abstract
    This paper investigates optimal reset law design of reset control systems with fixed reset time instants. Firstly, closed-loop reset control system is changed to discrete linear control system with reset values as control input. Then the optimal reset law design problems are transferred to standard linear quadratic regulation problems and the optimal reset laws are then obtained by solving some Riccati equations. As an application, the proposed optimal reset law design is applied to track-seeking control of a kind of hard disk drive systems. Simulations show that the proposed technique can improve the transient response significantly. Especially, the proposed long-span seeking reset controller is almost time optimal, but the design process is much simpler than optimal time control design.
  • Keywords
    Riccati equations; closed loop systems; control system synthesis; disc drives; discrete systems; hard discs; linear quadratic control; linear systems; Riccati equation; closed-loop reset control system; discrete linear control system; hard disk drive system; linear quadratic regulation problem; long-span seeking reset controller; optimal reset law design; track-seeking control; Control systems; Costs; Feedback control; Hard disks; Information science; Linear feedback control systems; Optimal control; Riccati equations; Stability analysis; Transient response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399857
  • Filename
    5399857