2020
DOI: 10.1088/1741-4326/ab9c4a
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Model predictive control of KSTAR equilibrium parameters enabled by TRANSP

Abstract: Due to the complex behavior of tokamak plasmas and the importance of optimizing performance while avoiding instabilities and machine limits, plasma control algorithms are becoming increasingly dependent on sophisticated model-based control approaches. It is anticipated that the use of integrated modeling codes in the model-based control design process will reduce the amount of experimental time needed to implement new control algorithms by facilitating development of control-oriented models and enabling higher… Show more

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Cited by 5 publications
(5 citation statements)
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“…The dashed line shown is an upper limit of κ = 3.4-l i derived from the experience of NSTX for the design of future spherical tokamaks [30]. A boundary, such as this has been proposed for a model predictive control scheme for tokamaks [31]. This indicates that MAST-U still potentially has some margin to increase the elongation of its plasmas, especially as l i is lowered even further in future campaigns.…”
Section: Vertical Stabilitymentioning
confidence: 99%
“…The dashed line shown is an upper limit of κ = 3.4-l i derived from the experience of NSTX for the design of future spherical tokamaks [30]. A boundary, such as this has been proposed for a model predictive control scheme for tokamaks [31]. This indicates that MAST-U still potentially has some margin to increase the elongation of its plasmas, especially as l i is lowered even further in future campaigns.…”
Section: Vertical Stabilitymentioning
confidence: 99%
“…The pressure and safety factor evolution by the RAPTOR transport code [78], with a simple transport model, has been coupled to the free-boundary equilibrium code LIUQE [79] to compute KERs that are used by the PCS system of the TCV tokamak [80]. A similar project to include the KSTAR PCS coupled to the TRANSP code [81,82] simulation of the plasma and MHD equilibrium is underway [83]. At present only highly reduced models of the plasma fit to predictive TRANSP simulations are used in the control coupling.…”
Section: Integration Of Plasma Control Systemmentioning
confidence: 99%
“…The model-based control algorithm enables multi-input multioutput control over the diverter coils to track operator specified snowflake diverter characteristics. In addition to shape control, a reduced-model-based feedback control of the safety factor profile was developed [149] and tested using the recently improved TRANSP closed-loop control modelling [150]. To enable fast profile measurements suitable for real-time applications, a scalable framework for Thomson scattering analysis was established using high speed analog-to-digital converters, a dedicated real-time server, and new analysis software optimized for fast and accurate fitting of the Thomson spectra [151,152].…”
Section: Scenario Optimization and Controlmentioning
confidence: 99%