2019
DOI: 10.1088/1361-6587/aaf7ed
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Optimal MSE polarisation angle and q-profile estimation using Kalman filters and the plasma simulator RAPTOR

Abstract: DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal… Show more

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Cited by 4 publications
(8 citation statements)
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“…In the present paper we did not close the loop with the real-time controllers yet. However, the difference between the ι profile between LIUQE and RAPTOR observed in [27] is now resolved thanks to the achieved KER. Moreover, the RAPTOR results depend on the geometrical coefficients given by LIUQE which non-linearly depend on the ι profile of the latter.…”
Section: Limitations Of Current Approach and Outlooksmentioning
confidence: 92%
See 2 more Smart Citations
“…In the present paper we did not close the loop with the real-time controllers yet. However, the difference between the ι profile between LIUQE and RAPTOR observed in [27] is now resolved thanks to the achieved KER. Moreover, the RAPTOR results depend on the geometrical coefficients given by LIUQE which non-linearly depend on the ι profile of the latter.…”
Section: Limitations Of Current Approach and Outlooksmentioning
confidence: 92%
“…In other tokamaks these diagnostics are used to constrain the equilibrium solution directly, also in real-time as in [7, 13-15, 53, 54]. In principle, real-time MSE measurements can also be included in RAPTOR with the EKF technique as described in [27]. We favour this approach when eventually porting this tool to other tokamaks that have real-time MSE measurements.…”
Section: Limitations Of Current Approach and Outlooksmentioning
confidence: 99%
See 1 more Smart Citation
“…Data assimilation methods can simultaneously estimate more than one parameter, or variable having its own uncertainty, and any variables connected with observed variables in a simulation model. Similar techniques based on Kalman filters have been applied for the safety factor profile estimation of tokamak plasmas [5]. The extended Kalman filter, which has been employed in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…The extended Kalman filter, which has been employed in Ref. [5], needs a linear approximation of the system model and does not always work well for nonlinear system models. The data assimilation method, which assimilates both past and future data, has not yet been implemented.…”
Section: Introductionmentioning
confidence: 99%