Author: Dumont, G.A.
Paper Title Page
THPRB011 Norm-optimal Iterative Learning Control to Cancel Beam Loading Effect on the Accelerating Field 3824
SUSPFO005   use link to see paper's listing under its alternate paper code  
 
  • Z. Shahriari, K. Fong
    TRIUMF, Vancouver, Canada
  • G.A. Dumont
    UBC, Vancouver, 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. In this work, we aim to use norm-optimal ILC to cancel beam loading effect. Norm-optimal ILC updates the control signal with the goal of minimizing a performance index, which results in monotonic convergence. Simulation results show that this controller improves beam loading compensation compared to a PI controller.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB011  
About • paper received ※ 14 May 2019       paper accepted ※ 19 May 2019       issue date ※ 21 June 2019  
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