Title :
Extremum seeking adaptive control of beam envelope in particle accelerators
Author :
Schuster, Eugenio ; Torres, Nicholas ; Xu, Chao
Author_Institution :
Department of Mechanical Engineering and Mechanics, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015-0385, USA
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.
Keywords :
Acceleration; Adaptive control; Control systems; Dynamic programming; Equations; Lenses; Linear particle accelerator; Particle beams; Synchrotron radiation; Uncertainty;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich, Germany
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776920
