002887011 001__ 2887011
002887011 003__ SzGeCERN
002887011 005__ 20240121204539.0
002887011 0247_ $$2DOI$$9JACOW$$a10.18429/JACoW-IPAC2023-TUPA159
002887011 0248_ $$aoai:cds.cern.ch:2887011$$pcerncds:FULLTEXT$$pcerncds:CERN:FULLTEXT$$pcerncds:CERN
002887011 035__ $$9https://inspirehep.net/api/oai2d$$aoai:inspirehep.net:2718433$$d2024-01-19T14:24:29Z$$h2024-01-20T05:00:04Z$$mmarcxml
002887011 035__ $$9Inspire$$a2718433
002887011 041__ $$aeng
002887011 100__ $$aUden, Cédric$$uCERN
002887011 245__ $$9JACOW$$aMulti-objective extremum seeking to control drifts in the transverse beam splitting efficiency of the multi-turn extraction at the CERN proton synchrotron
002887011 260__ $$c2023
002887011 260__ $$c2023
002887011 300__ $$a4 p
002887011 520__ $$9JACOW$$aTime-varying fluctuations of the intensity sharing between the islands and the core of the beam extracted via the CERN Proton Synchrotron (PS) Multi-Turn Extraction are the main effects that require manual adjustment for this beam type. To mitigate this, the application of an online controller is explored to further enhance both operational autonomy of the accelerator and physics performance. In this contribution a proof of concept implementation of a multi-objective extremum seeking algorithm is presented. The tuning of the PS parameters, the proper choice of the hyperparameters of the algorithm and the achievements reached during the beam studies are summarised.
002887011 540__ $$aCC-BY-4.0$$bJACOW$$uhttps://creativecommons.org/licenses/by/4.0
002887011 65017 $$2SzGeCERN$$aAccelerators and Storage Rings
002887011 6531_ $$9author$$acontrols
002887011 6531_ $$9author$$aoperation
002887011 6531_ $$9author$$atiming
002887011 6531_ $$9author$$aextraction
002887011 6531_ $$9author$$aproton
002887011 690C_ $$aARTICLE
002887011 690C_ $$aCERN
002887011 700__ $$aHuschauer, Alexander$$uCERN
002887011 700__ $$aPahl, Hannes$$uCERN
002887011 700__ $$aSchenk, Michael$$uCERN
002887011 700__ $$aMadysa, Nico$$uCERN
002887011 700__ $$aKain, Verena$$uCERN
002887011 773__ $$cTUPA159$$pJACoW IPAC$$qIPAC2023$$v2023$$wC23-05-07$$y2023
002887011 8564_ $$82506156$$s457815$$uhttp://cds.cern.ch/record/2887011/files/document.pdf$$yFulltext
002887011 960__ $$a13
002887011 962__ $$b2858945$$kTUPA159$$nvenice20230507
002887011 980__ $$aARTICLE
002887011 980__ $$aConferencePaper