Eugenio Schuster

Optimal Beam Matching in Particle Accelerators via Extremum Seeking

E. Schuster, E. Morinaga, C.K. Allen and M. Krstic

American Control Conference

Minneapolis, MN, USA, June 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 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.

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.