skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Model-independent particle accelerator tuning

Abstract

We present a new model-independent dynamic feedback technique, rotation rate tuning, for automatically and simultaneously tuning coupled components of uncertain, complex systems. The main advantages of the method are: 1) It has the ability to handle unknown, time-varying systems, 2) It gives known bounds on parameter update rates, 3) We give an analytic proof of its convergence and its stability, and 4) It has a simple digital implementation through a control system such as the Experimental Physics and Industrial Control System (EPICS). Because this technique is model independent it may be useful as a real-time, in-hardware, feedback-based optimization scheme for uncertain and time-varying systems. In particular, it is robust enough to handle uncertainty due to coupling, thermal cycling, misalignments, and manufacturing imperfections. As a result, it may be used as a fine-tuning supplement for existing accelerator tuning/control schemes. We present multi-particle simulation results demonstrating the scheme’s ability to simultaneously adaptively adjust the set points of twenty two quadrupole magnets and two RF buncher cavities in the Los Alamos Neutron Science Center Linear Accelerator’s transport region, while the beam properties and RF phase shift are continuously varying. The tuning is based only on beam current readings, without knowledge of particle dynamics.more » We also present an outline of how to implement this general scheme in software for optimization, and in hardware for feedback-based control/tuning, for a wide range of systems.« less

Authors:
 [1];  [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1193385
Report Number(s):
LA-UR-13-26403
Journal ID: ISSN 1098-4402; PRABFM
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physical Review Special Topics. Accelerators and Beams
Additional Journal Information:
Journal Volume: 16; Journal Issue: 10; Journal ID: ISSN 1098-4402
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; 43 PARTICLE ACCELERATORS

Citation Formats

Scheinker, Alexander, Pang, Xiaoying, and Rybarcyk, Larry. Model-independent particle accelerator tuning. United States: N. p., 2013. Web. doi:10.1103/PhysRevSTAB.16.102803.
Scheinker, Alexander, Pang, Xiaoying, & Rybarcyk, Larry. Model-independent particle accelerator tuning. United States. https://doi.org/10.1103/PhysRevSTAB.16.102803
Scheinker, Alexander, Pang, Xiaoying, and Rybarcyk, Larry. Mon . "Model-independent particle accelerator tuning". United States. https://doi.org/10.1103/PhysRevSTAB.16.102803. https://www.osti.gov/servlets/purl/1193385.
@article{osti_1193385,
title = {Model-independent particle accelerator tuning},
author = {Scheinker, Alexander and Pang, Xiaoying and Rybarcyk, Larry},
abstractNote = {We present a new model-independent dynamic feedback technique, rotation rate tuning, for automatically and simultaneously tuning coupled components of uncertain, complex systems. The main advantages of the method are: 1) It has the ability to handle unknown, time-varying systems, 2) It gives known bounds on parameter update rates, 3) We give an analytic proof of its convergence and its stability, and 4) It has a simple digital implementation through a control system such as the Experimental Physics and Industrial Control System (EPICS). Because this technique is model independent it may be useful as a real-time, in-hardware, feedback-based optimization scheme for uncertain and time-varying systems. In particular, it is robust enough to handle uncertainty due to coupling, thermal cycling, misalignments, and manufacturing imperfections. As a result, it may be used as a fine-tuning supplement for existing accelerator tuning/control schemes. We present multi-particle simulation results demonstrating the scheme’s ability to simultaneously adaptively adjust the set points of twenty two quadrupole magnets and two RF buncher cavities in the Los Alamos Neutron Science Center Linear Accelerator’s transport region, while the beam properties and RF phase shift are continuously varying. The tuning is based only on beam current readings, without knowledge of particle dynamics. We also present an outline of how to implement this general scheme in software for optimization, and in hardware for feedback-based control/tuning, for a wide range of systems.},
doi = {10.1103/PhysRevSTAB.16.102803},
url = {https://www.osti.gov/biblio/1193385}, journal = {Physical Review Special Topics. Accelerators and Beams},
issn = {1098-4402},
number = 10,
volume = 16,
place = {United States},
year = {2013},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Optimization of wiggler magnets ordering using a genetic algorithm
journal, July 1992

  • Hajima, Ryoichi; Takeda, Nobukazu; Ohashi, Hirotada
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 318, Issue 1-3
  • https://doi.org/10.1016/0168-9002(92)91167-8

Multivariate optimization of a high brightness dc gun photoinjector
journal, March 2005


Global optimization of an accelerator lattice using multiobjective genetic algorithms
journal, October 2009

  • Yang, Lingyun; Robin, David; Sannibale, Fernando
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 609, Issue 1
  • https://doi.org/10.1016/j.nima.2009.08.027

Evolutionary Algorithm for the Neutrino Factory Front end Design
journal, February 2009


Simultaneous optimization of beam emittance and dynamic aperture for electron storage ring using genetic algorithm
journal, September 2011


Multiobjective genetic algorithm optimization of the beam dynamics in linac drivers for free electron lasers
journal, March 2012


Innovative applications of genetic algorithms to problems in accelerator physics
journal, January 2013


Limit processes in ordinary differential equations
journal, March 1987