Reichardt, Benjamin R. ; Domont-Yankulova, Dilyana ; Klingbeil, Harald (2022)
Longitudinal Beam Stabilization at FAIR by Means of a Derivative Estimation.
8th International Particle Accelerator Conference. Copenhagen, Denmark (14.05.2017-19.05.2017)
doi: 10.26083/tuprints-00020313
Conference or Workshop Item, Secondary publication, Publisher's Version
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Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | Longitudinal Beam Stabilization at FAIR by Means of a Derivative Estimation |
Language: | English |
Date: | 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2017 |
Publisher: | Joint Accelerator Conferences Website |
Book Title: | Proceedings of the 8th International Particle Accelerator Conference |
Series: | International Particle Accelerator Conference |
Series Volume: | 8 |
Event Title: | 8th International Particle Accelerator Conference |
Event Location: | Copenhagen, Denmark |
Event Dates: | 14.05.2017-19.05.2017 |
DOI: | 10.26083/tuprints-00020313 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | During acceleration in SIS18/SIS100 at GSI/FAIR longitudinal beam-oscillations are expected to occur. To reduce emittance blow-up, dedicated LLRF beam feedback systems are planned. To date longitudinal beam oscillations have been damped in machine experiments with a finite-impulse-response (FIR) filter controller with 3 filter taps. An alternative approach implementing the FIR filter as a derivative estimator controller is simulated and tested. This approach shares the same controller topology and can therefore be easily integrated in the system. It exploits the fact that the sampling rate of the feedback hardware is considerably higher than the frequency of the beam oscillations. It is therefore capable of damping oscillations without overshoot within one oscillation period. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-203133 |
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) |
Date Deposited: | 14 Jan 2022 08:01 |
Last Modified: | 20 Mar 2023 10:22 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20313 |
PPN: | 490518877 |
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