| Paper | Title | Page |
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| TUPIK047 | FAIR Control Centre (FCC) - Concepts and Interim Options for the Existing GSI Main Control Room | 1791 |
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| The 'Facility for Anti-Proton and Ion Research' (FAIR) which is presently under construction, extends and supersedes the existing GSI. Present operation still largely relies on laborious manual tuning based on analogue signals routed directly to the existing control room. The substantial scope increase from 3 to more than 8 FAIR accelerators requires more intricate and precise control across longer accelerator chains, while providing a high degree of multi-user operation, with facility reconfiguration required on time-scales of a few times per week. A new FAIR Control Centre (FCC) is being planned to accommodate the required larger accelerator crews as well as accelerator-based experiments. While targeting a single control room for up to ~35 people, emphasis is put on ergonomics, operational processes, and minimising unnecessary strain on personnel already during the design stage. This contribution presents digital control room concepts, console layout, and beam-production-chain paradigms aimed at achieving good operational performances and that influence the new FCC design. Prior to FCC completion, interim upgrade options of the existing control room are being investigated. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-TUPIK047 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| THPAB096 | Automatized Optimization of Beam Lines Using Evolutionary Algorithms | 3941 |
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Due to the massive parallel operation modes at GSI accelerators, a lot of accelerator setup and re-adjustment has to be made by operators during a beam time. This is typically done manually using potentiometers and is very time-consuming. With the FAIR project the complexity of the accelerator facility increases further and for efficiency reasons it is recommended to establish a high level of automation for future operation. Modern Accelerator Control Systems allow a fast access to both, accelerator settings and beam diagnostics data. This provides the opportunity to implement algorithms for automated adjustment of e.g. magnet settings to maximize transmission and optimize required beam parameters. The fast-switching magnets in GSI-beamlines are an optimal basis for an automatic exploration of the parameter-space. The optimization of the parameters for the SIS18 multi-turn-injection using a genetic algorithm has already been simulated*. The first results of our automatized online parameter optimization at the CRYRING@ESR injector are presented here.
[*] S. Appel, O. Boine-Frankenheim: Optimization of Multi-turn Injection into a Heavy-Ion Synchrotron using Genetic Algorithms, Proceedings of IPAC2015, Richmond, USA (2015) |
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| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-THPAB096 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |