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Title: Model-independent particle accelerator tuning

Journal Article · · Physical Review Special Topics. Accelerators and Beams
 [1];  [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

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.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1193385
Report Number(s):
LA-UR-13-26403; PRABFM
Journal Information:
Physical Review Special Topics. Accelerators and Beams, Vol. 16, Issue 10; ISSN 1098-4402
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

References (8)

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journal July 1992
Multivariate optimization of a high brightness dc gun photoinjector journal March 2005
Global optimization of an accelerator lattice using multiobjective genetic algorithms
  • Yang, Lingyun; Robin, David; Sannibale, Fernando
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journal October 2009
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

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