TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Towards model predictive control of longitudinal beam dynamics in synchrotrons
 
Options

Towards model predictive control of longitudinal beam dynamics in synchrotrons

Publikationstyp
Journal Article
Date Issued
2015-08-28
Sprache
German
Author(s)
Lens, Dieter  
Faulwasser, Timm  
Kellett, Christopher M.  
TORE-URI
https://hdl.handle.net/11420/46173
Journal
AT Automatisierungstechnik  
Volume
63
Issue
8
Start Page
621
End Page
632
Citation
At-Automatisierungstechnik 63 (8): 621-632 (2015)
Publisher DOI
10.1515/auto-2015-0020
Scopus ID
2-s2.0-84938602474
Publisher
De Gruyter
Hadron synchrotrons accelerate protons and heavy ions to very high energies. The stabilization of the longitudinal beam dynamics in these particle accelerators is a demanding control problemsince typical sample times of the beam-feedback loop are on the order of several ìs to several hundred ns. This work examines if model predictive control is a suitable candidate for longitudinal beam feedback in synchrotrons. We show that, by combining an appropriate problem formulation with efficient numer-ical algorithms, the optimization problem can be solved sufficiently fast on a high-end FPGA. Realistic simulations for the synchrotron SIS18 of the GSI Helmholtz Center for Heavy-Ion Research illustrate that the proposed control scheme can lead to a significant improvement of the control performance.
Subjects
field programmable gate array
hadron synchrotrons
longitudinal beam feedback
Model predictive control
DDC Class
004: Computer Sciences
510: Mathematics
620: Engineering
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback