• DocumentCode
    2465866
  • Title

    Improved noise sensitivity under high-gain feedback in nano-positioning motion systems

  • Author

    Heertjes, Marcel ; Leenknegt, George ; Van Goch, Bram ; Nijmeijer, Henk

  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    To avoid an increased noise response under high-gain feedback in nano-positioning motion systems, a nonlinear (N-PID) control design is proposed. The design is of particular interest in the wafer scanning industry where nano-accuracy should be achieved under high-speed motion. In a variable gain controller setting, the N-PID control design has an observer structure with state-dependent low-pass filter characteristics. Under high-gain feedback and being induced by sufficiently large servo error signals, the nonlinear observer acts as a low-pass filter with a significantly smaller cut-off frequency as compared to the case of low-gain feedback. As a result, the high-frequency noise response that usually increases under high-gain feedback is kept limited. For a validated wafer stage model, the effectiveness of the control approach in dealing with position-dependent behavior is assessed through simulation.
  • Keywords
    control system synthesis; frequency response; integrated circuit manufacture; low-pass filters; motion control; nanopositioning; nonlinear control systems; observers; state feedback; three-term control; N-PID control design; high-frequency noise response sensitivity; high-gain feedback; integrated circuit manufacture; low-gain feedback; nanopositioning motion control system; nonlinear PID control design; nonlinear observer structure; servo error signal; state-dependent low-pass filter; variable gain controller; wafer scanning industry; Control design; Cutoff frequency; Feedback; Gain; Low pass filters; Low-frequency noise; Motion control; Nanopositioning; Semiconductor device modeling; Servomechanisms;
  • 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.2009.5160172
  • Filename
    5160172