Reichardt, Benjamin ; Adamy, Jürgen ; Domont-Yankulova, Dilyana ; Groß, Kerstin ; Klingbeil, Harald ; Lens, Dieter (2021)
Feasibility of RF feedback control loops in heavy-ion synchrotrons by means of derivative estimation.
doi: 10.26083/tuprints-00019417
Report, Secondary publication, Publisher's Version
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GSI-REPORT-2017-1 451.pdf Copyright Information: CC BY 4.0 International - Creative Commons, Attribution. Download (588kB) | Preview |
| Item Type: | Report |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Feasibility of RF feedback control loops in heavy-ion synchrotrons by means of derivative estimation |
| Language: | English |
| Date: | 2 September 2021 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2017 |
| Publisher: | GSI Helmholtzzentrum für Schwerionenforschung |
| Series: | GSI Scientific Report 2016 |
| Collation: | 1 Seite |
| DOI: | 10.26083/tuprints-00019417 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| Abstract: | Damping of longitudinal coherent bunched-beam oscillations is needed in SIS18 and SIS100 to stabilize the beam, prevent emittance growth and keep beam loss low during acceleration. In last year’s work several approaches of digital filters for beam-phase control have been examined. An FIR (finite impulse response) filter with 3 taps, cf. [1], has been successfully used at GSI in several machine experiments for a beam-phase control system and a longitudinal feedback system. In this report an alternative FIR filter approach based on derivative estimation leads to better results as it damps dipole oscillations within one oscillation period whereas the former filter approach unveils its full potential only after one oscillation period. |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-194177 |
| Additional Information: | Seite 432 aus Report 2016 |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems) 18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Accelerator Technology |
| Date Deposited: | 02 Sep 2021 12:24 |
| Last Modified: | 21 Nov 2024 14:00 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19417 |
| PPN: | 486163407 |
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