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Modeling and Simulation of Broadband RF Cavities in PSpice

Harzheim, Jens ; Domont-Yankulova, Dilyana ; Klingbeil, Harald ; Königstein, R. ; Frey, Michael (2022)
Modeling and Simulation of Broadband RF Cavities in PSpice.
7th International Particle Accelerator Conference. Busan, Korea (08.-13.05.2016)
doi: 10.26083/tuprints-00020320
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: Modeling and Simulation of Broadband RF Cavities in PSpice
Language: English
Date: 2022
Place of Publication: Darmstadt
Publisher: Joint Accelerator Conferences Website
Book Title: Proceedings of the 7th International Particle Accelerator Conference
Series: International Particle Accelerator Conference
Series Volume: 7
Event Title: 7th International Particle Accelerator Conference
Event Location: Busan, Korea
Event Dates: 08.-13.05.2016
DOI: 10.26083/tuprints-00020320
Corresponding Links:
Origin: Secondary publication service

Barrier bucket systems are planned for the SIS100 Synchrotron (part of the future accelerator facility FAIR) and the ESR storage ring to facilitate several longitudinal beam manipulations [9] [15]. In order to achieve a single-sine gap signal of the desired amplitude and quality, effects in the linear and nonlinear region of the RF systems have to be investigated and included in the design of the overall system. Therefore, the cavities and the amplifier stages are to be modeled in PSpice. In this contribution, a cavity model will be presented. In a first step, a model for the magnetic alloy (MA) ring cores, which highly account for the properties of the cavity, has been found based on measurement data. In a second step, the future setup of the cavity is systematically created using the MA ring core models. The model of the cavity allows simulations in frequency domain as well as time domain. The results show good agreement with former measurements.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-203203
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 08:14
Last Modified: 20 Mar 2023 12:44
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20320
PPN: 490518931
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