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https://doi.org/10.18429/JACoW-IPAC2015-MOPWI034
Title Adaptive Accelerator Tuning
Authors
  • A. Scheinker
    LANL, Los Alamos, New Mexico, USA
Abstract We start with an overview of advanced adaptive control schemes in use throughout the accelerator community. We then present a recently developed, novel, model-independent feedback controller*, which is robust to measurement noise, and able to tune an arbitrary number of coupled parameters simultaneously based only on a user-defined cost function. We discuss the possibility of combining virtual beam measurements from simulations with actual diagnostic signals from the accelerator into a single cost function, which takes into account both unknown machine variations and estimates of physically inaccessible beam characteristics. We present recent in-hardware experimental results obtained at the Los Alamos Neutron Science Center** and at the Facility for Advanced Accelerator Tests (FACET)***, demonstrating the scheme’s ability to simultaneously tune many parameters and its robustness to noise and system time-variation.
Footnotes & References * A. Scheinker et al., PRSTAB, 16, 102803, 2013.
** A. Scheinker et al., NIMA, 756, pp. 30-38, 2014.
*** A. Scheinker and S. Gessner, Conference on Decision and Control, 2014.
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Conference IPAC2015, Richmond, VA, USA
Series International Particle Accelerator Conference (6th)
Proceedings Link to full IPAC2015 Proccedings
Session Monday Posters (Wilson)
Date 04-May-15   16:00–18:00
Main Classification 6: Beam Instrumentation, Controls, Feedback, and Operational Aspects
Sub Classification T33 - Online modeling and software tools
Keywords controls, DTL, feedback, hardware, simulation
Publisher JACoW, Geneva, Switzerland
Editors Stuart Henderson (ANL, Argonne, IL, USA); Evelyn Akers (Jlab, Newport News, VA, USA); Todd Satogata (JLab, Newport News, VA, USA); Volker R.W. Schaa (GSI, Darmstadt, Germany)
ISBN 978-3-95450-168-7
Published June 2015
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