In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift
Abstract
In this work, an implementation of a recently developed model-independent adaptive control scheme, for tuning uncertain and time varying systems, is demonstrated on the Los Alamos linear particle accelerator. The main benefits of the algorithm are its simplicity, ability to handle an arbitrary number of components without increased complexity, and the approach is extremely robust to measurement noise, a property which is both analytically proven and demonstrated in the experiments performed. We report on the application of this algorithm for simultaneous tuning of two buncher radio frequency (RF) cavities, in order to maximize beam acceptance into the accelerating electromagnetic field cavities of the machine, with the tuning based only on a noisy measurement of the surviving beam current downstream from the two bunching cavities. The algorithm automatically responds to arbitrary phase shift of the cavity phases, automatically re-tuning the cavity settings and maximizing beam acceptance. Because it is model independent it can be utilized for continuous adaptation to time-variation of a large system, such as due to thermal drift, or damage to components, in which the remaining, functional components would be automatically re-tuned to compensate for the failing ones. We start by discussing the general model-independent adaptive scheme and howmore »
- Authors:
-
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1193396
- Report Number(s):
- LA-UR-14-21532
Journal ID: ISSN 0168-9002; PII: S0168900214004227
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Additional Journal Information:
- Journal Volume: 756; Journal Issue: C; Journal ID: ISSN 0168-9002
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; 97 MATHEMATICS AND COMPUTING; 43 PARTICLE ACCELERATORS; linac; adaptive control; feedback control; model independent control; RF cavity; phase drift
Citation Formats
Scheinker, Alexander, Baily, Scott, Young, Daniel, Kolski, Jeffrey S., and Prokop, Mark. In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift. United States: N. p., 2014.
Web. doi:10.1016/j.nima.2014.04.026.
Scheinker, Alexander, Baily, Scott, Young, Daniel, Kolski, Jeffrey S., & Prokop, Mark. In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift. United States. https://doi.org/10.1016/j.nima.2014.04.026
Scheinker, Alexander, Baily, Scott, Young, Daniel, Kolski, Jeffrey S., and Prokop, Mark. Fri .
"In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift". United States. https://doi.org/10.1016/j.nima.2014.04.026. https://www.osti.gov/servlets/purl/1193396.
@article{osti_1193396,
title = {In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift},
author = {Scheinker, Alexander and Baily, Scott and Young, Daniel and Kolski, Jeffrey S. and Prokop, Mark},
abstractNote = {In this work, an implementation of a recently developed model-independent adaptive control scheme, for tuning uncertain and time varying systems, is demonstrated on the Los Alamos linear particle accelerator. The main benefits of the algorithm are its simplicity, ability to handle an arbitrary number of components without increased complexity, and the approach is extremely robust to measurement noise, a property which is both analytically proven and demonstrated in the experiments performed. We report on the application of this algorithm for simultaneous tuning of two buncher radio frequency (RF) cavities, in order to maximize beam acceptance into the accelerating electromagnetic field cavities of the machine, with the tuning based only on a noisy measurement of the surviving beam current downstream from the two bunching cavities. The algorithm automatically responds to arbitrary phase shift of the cavity phases, automatically re-tuning the cavity settings and maximizing beam acceptance. Because it is model independent it can be utilized for continuous adaptation to time-variation of a large system, such as due to thermal drift, or damage to components, in which the remaining, functional components would be automatically re-tuned to compensate for the failing ones. We start by discussing the general model-independent adaptive scheme and how it may be digitally applied to a large class of multi-parameter uncertain systems, and then present our experimental results.},
doi = {10.1016/j.nima.2014.04.026},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 756,
place = {United States},
year = {Fri Aug 01 00:00:00 EDT 2014},
month = {Fri Aug 01 00:00:00 EDT 2014}
}
Web of Science
Works referenced in this record:
Control strategies for the final focus of future linear particle collider
journal, August 2012
- Collette, C.; Janssens, S.; Tshilumba, D.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 684
Development of a bunch-by-bunch longitudinal feedback system with a wide dynamic range for the HIGS facility
journal, March 2011
- Wu, W. Z.; Kim, Y.; Li, J. Y.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 632, Issue 1
On active disturbance rejection based control design for superconducting RF cavities
journal, July 2011
- Vincent, John; Morris, Dan; Usher, Nathan
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 643, Issue 1
Electron beam energy and bunch length feed forward control studies using an artificial neural network at the Linac coherent light source
journal, November 2009
- Meier, E.; Biedron, S. G.; LeBlanc, G.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 610, Issue 3
Development of a combined feed forward-feedback system for an electron Linac
journal, October 2009
- Meier, E.; Biedron, S. G.; LeBlanc, G.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 609, Issue 2-3
Algorithms for the implementation of a low level RF control system for a klystron amplifier
journal, November 2013
- Poggi, Tomaso
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 729
Model-independent particle accelerator tuning
journal, October 2013
- Scheinker, Alexander; Pang, Xiaoying; Rybarcyk, Larry
- Physical Review Special Topics - Accelerators and Beams, Vol. 16, Issue 10
Principle of vibrational control: Theory and applications
journal, August 1980
- Meerkov, S.
- IEEE Transactions on Automatic Control, Vol. 25, Issue 4
New Differential Geometric Methods in Nonholonomic Path Finding
book, January 1992
- Sussmann, Héctor J.
- Systems, Models and Feedback: Theory and Applications
Works referencing / citing this record:
Constrained extremum seeking stabilization of systems not affine in control: Extremum Seeking Stabilization of Systems Not Affine in Control
journal, July 2017
- Scheinker, Alexander; Scheinker, David
- International Journal of Robust and Nonlinear Control, Vol. 28, Issue 2