Eugenio Schuster

Beam matching adaptive control via extremum seeking

E. Schuster, C. Xu, N. Torres, E. Morinaga, C. Allen, M. Krstic

Nuclear Instruments and Methods in Physics Research A, v 581, n 3, Nov. 2007, p 799-815

Abstract

The matching problem for a low energy transport system in a charged particle accelerator is approached using the extremum seeking method for non-model based optimization and adaptive control. The beam dynamics used for numerical simulations are given by the KV (KapchinskyñVladimirsky) envelope equations. Extremum seeking is employed for the lens tuning in both a matching and a periodic channel. 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.