2015
DOI: 10.1088/0029-5515/55/2/023001
|View full text |Cite
|
Sign up to set email alerts
|

Control of the tokamak safety factor profile with time-varying constraints using MPC

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
36
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
7
1

Relationship

3
5

Authors

Journals

citations
Cited by 50 publications
(39 citation statements)
references
References 40 publications
0
36
0
Order By: Relevance
“…ASTRA [30], CRONOS [43]) are not directly suitable for the task of real-time density reconstruction, since their execution time generally exceeds the discharge duration. It has been shown in [2][3][4][5]39,40] that low-complexity 1D models can be used for reconstruction and control of the temperature and safety factor profiles.…”
Section: Control-oriented 0+1d Model Of the Particle Transportmentioning
confidence: 99%
See 1 more Smart Citation
“…ASTRA [30], CRONOS [43]) are not directly suitable for the task of real-time density reconstruction, since their execution time generally exceeds the discharge duration. It has been shown in [2][3][4][5]39,40] that low-complexity 1D models can be used for reconstruction and control of the temperature and safety factor profiles.…”
Section: Control-oriented 0+1d Model Of the Particle Transportmentioning
confidence: 99%
“…Plasma control has expanded in recent years from control of bulk plasma quantities (such as total plasma current, average particle density and average temperature) to control of the spatial distributions of these quantities, e.g. the profiles of temperature, safety factor and rotation [2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Here the controller design is summarized, which is largely based on previous work in [10,19], with minor changes to simplify the implementation and meet the set (computational) requirements. Further details on the controller design can be found in [41].…”
Section: Outline Of Controller Design Proceduresmentioning
confidence: 99%
“…This enabled several applications of MPC in magnetic control for tokamaks and RFPs. Maaljars et al [65,66] presented MPC control of the plasma pressure and safety factor profile for ITER and TCV using the RAPTOR code; Wehner et al [67] uses MPC for control of plasma safety factor profile for DIII-D. Gerkšič et al [68,69] implemented MPC plasma current and shape control for ITER using a dual fast gradient method (FGM) QP solver [63]. Gerkšič et al [70] used explicit MPC for VS of the n = 0 mode for ITER, which does not require on-line optimization because a parametric solution is computed in advance, but this is suitable only for lowdimensional control problems.…”
Section: Introductionmentioning
confidence: 99%