Current-Iteration Non-Causal Iterative Learning Control for Beam Loading Cancellation in Particle Accelerators

Iterative learning control (ILC) is an approach to improve the performance of a system that carries out the same operation repeatedly. In this work, ILC is used to reduce beam loading effect in cavity resonators. Since beam loading is a repeating disturbance, the error is repetitive as well, and the controller can use a non-causal learning function to preemptively counteract the beam loading effect. The learning filter parameters are chosen using simulations, then the controller is implemented on hardware to control the field of a normal conducting quarter wave cavity resonator.