Author: Dumont, G. A.
Paper Title Page
THPML083 Iterative Learning Control to Cancel Beam Loading Effect on Amplitude and Phase of the Accelerating Field 4847
  • Z. Shahriari, K. Fong
    TRIUMF, Vancouver, Canada
  • G. A. Dumont
    UBC, Vancouver, Canada
  Funding: This research is supported by TRIUMF through federal funding via a contribution agreement with the National Research Council of Canada.
Iterative learning control (ILC) is an open loop control strategy that improves the performance of a repetitive system through learning from previous iterations. ILC can be used to compensate for a repetitive disturbance like the beam loading effect in resonators. Assuming that the beam loading disturbance is identical for all iterations, the learning law can be non-causal; it can anticipate the disturbance and preemptively counteract its effect. In this work, we aim to use ILC to cancel beam loading effect on amplitude and phase. Feedback controllers are not fast enough for this purpose. A normal feed forward controller may not be sufficient as well if there is a difference between the feed forward signal and the beam loading current. Therefore, the goal is to use ILC to adaptively cancel the beam loading effect.
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