| Title |
Machine Learning Based Middle-Layer for Autonomous Accelerator Operation and Control |
| Authors |
- S. Pioli, B. Buonomo, D. Di Giovenale, C. Di Giulio, L.G. Foggetta, G. Piermarini
LNF-INFN, Frascati, Italy
- F. Cardelli, P. Ciuffetti
INFN/LNF, Frascati, Italy
- V. Martinelli
INFN/LNL, Legnaro (PD), Italy
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| Abstract |
The Singularity project, led by National Laboratories of Frascati of the National Institute for Nuclear Physics (INFN-LNF), aim to develop automated machine-independent middle-layer to control accelerator operation through machine learning (ML) algorithms like Reinforcement Learning (RL) and Cluster integrated with accelerator’s sub-systems. In this work we will present architecture and of the middle-layer made with main purpose to drive user requests through the control framework backend and allow users to enjoy a better User Experience (UX) handling system performances without facing problems due to the interaction with control system. We will report the strategy to develop autonomous operation control with RL algorithms together with the fault detection capability improved by Clustering approach as breakdown and waveguide and RF cavity thermal stability monitor. Results of the first period of operation of this system, currently operating at the electron-positron LINAC of the Dafne complex in Frascati, autonomously controlling accelerator performance in terms of beam transport, beam current optimization and RF cavity phase-jitter compensation will be reported.
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| Paper |
download THAL03.PDF [1.920 MB / 6 pages] |
| Slides |
download THAL03_TALK.PDF [0.960 MB] |
| Cite |
download ※ BibTeX
※ LaTeX
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※ EndNote |
| Conference |
ICALEPCS2021 |
| Series |
International Conference on Accelerator and Large Experimental Physics Control Systems (18th) |
| Location |
Shanghai, China |
| Date |
14-22 October 2021 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Kazuro Furukawa (KEK, Tsukuba, Japan); Yingbing Yan (SARI,Shanghai, China); Yongbin Leng (SARI,Shanghai, China); Zhichu Chen (SARI,Shanghai, China); Volker RW Schaa (GSI, Darmstadt, Germany) |
| Online ISBN |
978-3-95450-221-9 |
| Online ISSN |
2226-0358 |
| Received |
19 October 2021 |
| Accepted |
22 December 2021 |
| Issue Date |
11 January 2022 |
| DOI |
doi:10.18429/JACoW-ICALEPCS2021-THAL03 |
| Pages |
797-802 |
| Copyright |
 Published by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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