Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization

Scheinker, Alexander; Huang, En-Chuan; Taylor, Charles Edward

doi:10.1109/TCST.2021.3136133

Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization

Journal Article · Fri Dec 31 00:00:00 EST 2021 · IEEE Transactions on Control Systems Technology

DOI:https://doi.org/10.1109/TCST.2021.3136133· OSTI ID:1841943

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Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Particle accelerators throughout the world vary widely in terms of age and availability of advanced noninvasive diagnostics that provide varying levels of detail about the accelerated beams. Additionally, beam loss measurements and current monitors are ubiquitous in the accelerator community, they are noninvasive, and they are some of the most important metrics in terms of preventing damage or irradiation of beam pipes and equipment for high-energy machines. However, beam loss and current measurements are difficult to use for feedback tuning because of a lack of a known analytic relationship between scalar loss measurements throughout an accelerator and the hundreds of thousands of parameters that influence the beam and time variation of the beam source itself. In this work, we present a model-independent extremum seeking (ES) controller, which has been implemented for automated tuning and optimization of the Los Alamos Neutron Science Center (LANSCE) linear ion accelerator based only on scalar quantities, such as beam loss or flux measurements. We demonstrate the approach on various accelerator subsystems, including groups of radio frequency (RF) accelerating cavities, quadrupole magnets, bending magnets, and steering magnets. This tool is now available as a use graphical user interface (GUI) in the LANSCE control room, allowing beam physicists to choose arbitrary groups of parameters and beam loss or current monitors for adaptive tuning.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1841943

Report Number(s):: LA-UR--21-24323

Journal Information:: IEEE Transactions on Control Systems Technology, Journal Name: IEEE Transactions on Control Systems Technology Journal Issue: 5 Vol. 30; ISSN 1063-6536; ISSN 2374-0159

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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43 PARTICLE ACCELERATORS
Loss measurement
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Neutrons
Particle beam measurements
Particle beams
Radio frequency
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Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization

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