Optimal beam matching in particle accelerators via extremum seeking

The matching problem for a low energy transport system in a charged particle accelerator is approached using the extremum seeking feedback method for non-model based optimization. The beam dynamics are modeled using the KV (Kapchinsky-Vladimirsky) envelope equations. Extremum seeking is employed for the lens tuning in the beam matching system. Numerical simulations illustrate the effectiveness of this approach.