• DocumentCode
    404185
  • Title

    Iterative learning control with iteration-domain adaptive feedforward compensation

  • Author

    Chen, YangQuan ; Moore, Kevin L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
  • Volume
    5
  • fYear
    2003
  • fDate
    9-12 Dec. 2003
  • Firstpage
    4416
  • Abstract
    This paper considers the iteration-wise sinusoidal disturbance with a known period but with unknown amplitude and unknown phase in iterative learning control (ILC) applications. An adaptive feedforward compensation (AFC) scheme in the iteration domain is presented to effectively cancel the sinusoidal disturbance. This is an example of using an internal model principle (IMP) in the iteration domain which in fact leads to an ILC updating law with high-order in the iteration direction. A simulation example is presented for illustration.
  • Keywords
    compensation; feedforward; iterative methods; learning (artificial intelligence); adaptive feedforward compensation; internal model principle; iteration domain; iteration wise sinusoidal disturbance; iterative learning control; Adaptive control; Application software; Automatic frequency control; Control systems; Convergence; Educational institutions; Error correction; Intelligent systems; Programmable control; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7924-1
  • Type

    conf

  • DOI
    10.1109/CDC.2003.1272210
  • Filename
    1272210