Extremum Seeking Adaptive Control of Beam Envelope in Particle Accelerators
IEEE Conference on Control Applications
Munich, Germany, October 4-6, 2006
Abstract |
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 adaptive control. The beam dynamics, used only for simulation purposes, is modeled using the KV (Kapchinsky-Vladimirsky) envelope equations. Extremum seeking is employed for the lens adaptive tuning in both the matching and periodic channels. Numerical simulations illustrate the effectiveness of this approach.