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Input Signal Generation for Barrier Bucket RF Systems at GSI

Harzheim, Jens ; Domont-Yankulova, Dilyana ; Groß, Kerstin ; Klingbeil, Harald ; Frey, Michael (2022)
Input Signal Generation for Barrier Bucket RF Systems at GSI.
8th International Particle Accelerator Conference. Copenhagen, Denmark (14.-19.05.2017)
doi: 10.26083/tuprints-00020316
Conference or Workshop Item, Secondary publication, Publisher's Version

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Input Signal Generation for Barrier Bucket RF Systems at GSI
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.-19.05.2017
DOI: 10.26083/tuprints-00020316
Corresponding Links:
Origin: Secondary publication service

At the GSI facility in Darmstadt, Germany, Barrier Bucket RF systems are currently designed for the SIS 100 synchrotron (part of the future FAIR facility) and the Experimental Storage Ring (ESR). The purpose of these systems is to provide single sine voltage pulses at the cavity gap. Due to the high requirements regarding the gap signal quality, the calculation of the pre-distorted input signal plays a major role in the system development. A procedure to generate the input signal based on the dynamic properties in the linear region of the system has been developed and tested at a prototype system. It was shown that this method is able to generate single sine gap signals of high quality in a wide voltage range. As linearity can only be assumed up to a certain magnitude, nonlinear effects limit the quality of the output signal at very high input levels. An approach to overcome this limit is to extend the input signal calculation to a nonlinear model of the system. In this contribution, the current method to calculate the required input signal is presented and experimental results at a prototype system are shown. Additionally, first results in the nonlinear region are presented.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-203162
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 08:07
Last Modified: 20 Mar 2023 12:00
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20316
PPN: 490518907
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