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RIS citation export for MOPGW017: Feedback Design for Control of the Micro-Bunching Instability based on Reinforcement Learning

TY  - CONF
AU  - Boltz, T.
AU  - Asfour, T.
AU  - Brosi, M.
AU  - Bründermann, E.
AU  - Härer, B.
AU  - Kaiser, P.
AU  - Müller, A.-S.
AU  - Pohl, C.
AU  - Schreiber, P.
AU  - Yan, M.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - Feedback Design for Control of the Micro-Bunching Instability based on Reinforcement Learning
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - The operation of ring-based synchrotron light sources with short electron bunches increases the emission of coherent synchrotron radiation (CSR) in the THz frequency range. However, the micro-bunching instability resulting from self-interaction of the bunch with its own radiation field limits stable operation with constant intensity of CSR emission to a particular threshold current. Above this threshold, the longitudinal charge distribution and thus the emitted radiation vary rapidly and continuously. Therefore, a fast and adaptive feedback system is the appropriate approach to stabilize the dynamics and to overcome the limitations given by the instability. In this contribution, we discuss first efforts towards a longitudinal feedback design that acts on the RF system of the KIT storage ring KARA (Karlsruhe Research Accelerator) and aims for stabilization of the emitted THz radiation. Our approach is based on methods of adaptive control that were developed in the field of reinforcement learning and have seen great success in other fields of research over the past decade. We motivate this particular approach and comment on different aspects of its implementation.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 104
EP  - 107
KW  - bunching
KW  - storage-ring
KW  - feedback
KW  - electron
KW  - controls
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-MOPGW017
UR  - http://jacow.org/ipac2019/papers/mopgw017.pdf
ER  -