• DocumentCode
    2095222
  • Title

    Extrapolation of optimal lifted system ILC solution, with application to a waferstage

  • Author

    Dijkstra, B.G. ; Bosgra, O.H.

  • Author_Institution
    Syst. & Control Group, Delft Univ. of Technol., Netherlands
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    2595
  • Abstract
    The optimal solution from the lifted system design methods presented by Tousain (2001) has many advantages over classic iterative learning control (ILC) design methods, with one drawback: the ILC solution has to be recalculated for every trajectory of a different length. This paper shows that it is very well possible to avoid this by expressing the solution for the lifted system ILC as a finite time function of the plant parameters. This solution will be referred to as an extrapolated solution since the solution can be used for a trajectory of any length without recalculating the solution. This low order extrapolated solution has been compared to a high order lifted system optimal control (Q-)ILC solution in the application to an industrial grade wafer stage, showing the value of this extrapolated solution.
  • Keywords
    extrapolation; integrated circuit manufacture; intelligent control; learning systems; optimal control; Q-ILC solution; finite time function; high-order lifted system optimal control; industrial grade wafer stage; iterative learning control; lifted system design methods; optimal lifted system ILC solution extrapolation; waferstage; Control systems; Design methodology; Electrical equipment industry; Error correction; Extrapolation; Feedback; Industrial control; Mechanical engineering; Optimal control; Servosystems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1025176
  • Filename
    1025176