Skip to main navigation Skip to search Skip to main content

Optimal iterative learning control of wafer temperature uniformity in rapid thermal processing

  • Kwang S. Lee
  • , Hyojin Ahn
  • , In Sik Chin
  • , Jay H. Lee
  • , Dae R. Yang*
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    An optimal iterative learning control (ILC) technique based on a quadratic optimal criterion has been implemented and evaluated in an experimental rapid thermal processing (RTP) system fabricating 8-inch silicon wafers. The control technique is based on a time-varying linear state space model which approximates a nonlinear system along a reference trajectory. This ILC control technique is capable of making improvements in the control performance from one run to next and eventually converges to a minimum achievable tracking error despite model error. Through a series of experiments with wafers on which thermocouples are glued, it was observed that the wafer temperatures are steered to the reference trajectory reducing the differences overcoming various disturbances.

    Original languageEnglish
    Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
    EditorsGabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
    PublisherIFAC Secretariat
    Pages333-338
    Number of pages6
    Edition1
    ISBN (Print)9783902661746
    DOIs
    Publication statusPublished - 2002
    Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
    Duration: 2002 Jul 212002 Jul 26

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    Number1
    Volume15
    ISSN (Print)1474-6670

    Other

    Other15th World Congress of the International Federation of Automatic Control, 2002
    Country/TerritorySpain
    CityBarcelona
    Period02/7/2102/7/26

    Bibliographical note

    Funding Information:
    This work was supported by the Korean Ministry of Education through the Brain Korea 21 Project. Authors greatly acknowledge the support from Sangrae Joo, Kornic System Co. for the provision of wafers. J. H. Lee acknowledges the financial support from the National Science Foundation (CTS 9979873).

    Publisher Copyright:
    Copyright © 2002 IFAC.

    Keywords

    • Identification
    • Iterative learning control
    • LQG
    • Rapid thermal processing
    • Time-varying linear state space model

    ASJC Scopus subject areas

    • Control and Systems Engineering

    Fingerprint

    Dive into the research topics of 'Optimal iterative learning control of wafer temperature uniformity in rapid thermal processing'. Together they form a unique fingerprint.

    Cite this