Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization
Abstract
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 beammore »
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1841943
- Report Number(s):
- LA-UR-21-24323
Journal ID: ISSN 1063-6536; ISSN 2374-0159; TRN: US2301331
- Grant/Contract Number:
- 89233218CNA000001
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Control Systems Technology
- Additional Journal Information:
- Journal Volume: 30; Journal Issue: 5; Journal ID: ISSN 1063-6536
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 43 PARTICLE ACCELERATORS; Particle beams; Loss measurement; Tuning; Radio frequency; Particle beam measurements; Magnetic hysteresis; Neutrons
Citation Formats
Scheinker, Alexander, Huang, En-Chuan, and Taylor, Charles Edward. Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization. United States: N. p., 2021.
Web. doi:10.1109/TCST.2021.3136133.
Scheinker, Alexander, Huang, En-Chuan, & Taylor, Charles Edward. Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization. United States. https://doi.org/10.1109/TCST.2021.3136133
Scheinker, Alexander, Huang, En-Chuan, and Taylor, Charles Edward. Fri .
"Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization". United States. https://doi.org/10.1109/TCST.2021.3136133. https://www.osti.gov/servlets/purl/1841943.
@article{osti_1841943,
title = {Extremum Seeking-Based Control System for Particle Accelerator Beam Loss Minimization},
author = {Scheinker, Alexander and Huang, En-Chuan and Taylor, Charles Edward},
abstractNote = {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.},
doi = {10.1109/TCST.2021.3136133},
journal = {IEEE Transactions on Control Systems Technology},
number = 5,
volume = 30,
place = {United States},
year = {Fri Dec 31 00:00:00 EST 2021},
month = {Fri Dec 31 00:00:00 EST 2021}
}
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