Eugenio Schuster

Extremum Seeking Adaptive Control of Beam Envelope in Particle Accelerators

E. Schuster, C. Xu and N. Torres

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.

Research Funding

Prof. Schuster's research work has been supported by the National Science Foundation (NSF) through the CAREER Award Program and the Basic Plasma Science Program, the U.S. Department of Energy (DOE), the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA), the New York State Energy Research and Development Authority (NYSERDA), national laboratories and private companies.