2011
DOI: 10.1088/0029-5515/51/4/043002
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Real-time feedback control of the plasma density profile on ASDEX Upgrade

Abstract: The spatial distribution of density in a fusion experiment is of significant importance as it enters in numerous analyses and contributes to the fusion performance. The reconstruction of the density profile is therefore commonly done in offline data analysis. In this article, we present an algorithm which allows for density profile reconstruction from the data of the submillimeter interferometer and the magnetic equilibrium in real-time. We compare the obtained results to the profiles yielded by a numerically … Show more

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Cited by 45 publications
(48 citation statements)
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“…This can be understood in terms of an interplay between Trapped Electron Modes (TEM) and Ion Temperature Gradient driven modes (ITG), which is theoretically described [81] and experimentally observed [82].…”
Section: Profile Tailoring With Wave Heatingmentioning
confidence: 99%
“…This can be understood in terms of an interplay between Trapped Electron Modes (TEM) and Ion Temperature Gradient driven modes (ITG), which is theoretically described [81] and experimentally observed [82].…”
Section: Profile Tailoring With Wave Heatingmentioning
confidence: 99%
“…These diagnostics operate from separate systems on a common shared memory from which and in which they read and place their data. Major components are an equilibrium solver [17], density profile from interferometry [18], ray-tracing for all ECRH-beams and a correlation analysis of the 60 new fast ECE channels with the n=2 component (for (3,2)-NTMs) or the n=1, m=2 component of the Mirnov-signals [15]. Figure 1 summarizes the level reached so far: the ECEMirnov correlation allows reliably to localize a (3,2)-NTM.…”
Section: Ntmsmentioning
confidence: 98%
“…For control and monitoring in DCS raw sensor signals are processed to reconstruct main physics quantities such as plasma separatrix geometry [6], magnetic flux coordinates [7], electron and neutral density and density profiles [8], radiated power, power fluxes, effective heating power components, stored energy, plasma confinement parameters [9,10], MHD and locked mode amplitudes and locations [11,12] and disruption precursors [13,14]. To distribute and parallelise the working load, part of these quantities are not computed by DCS but directly by real-time enabled digital diagnostic systems [15].…”
Section: Measurements and Plasma Reconstructionmentioning
confidence: 99%