The ITER Plasma Control System Simulation Platform

Walker, M.L.; Ambrosino, G.; Tommasi, G. De; Humphreys, D.A.; Mattei, M.; Neu, G.; Rapson, C.; Raupp, G.; Treutterer, W.; Welander, A.S.; Winter, A.

doi:10.1016/j.fusengdes.2015.01.009

Cited by 27 publications

(23 citation statements)

References 3 publications

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“…It is important to note that it is straightforward to transfer these tools to another control testing environment, e.g. PCSSP [25], for re-use in simulations for ITER and other tokamaks. Controller test environment where profile controller is interfaced with the RAPTOR simulator.…”

Section: Controller Development and Implementation Environmentmentioning

confidence: 99%

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Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller

et al. 2017

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The successful performance of a model predictive profile controller is demonstrated in simulations and experiments on the TCV tokamak, employing a profile controller test environment. Stable high-performance tokamak operation in hybrid and advanced plasma scenarios requires control over the safety factor profile (q-profile) and kinetic plasma parameters such as the plasma beta. This demands to establish reliable profile control routines in presently operational tokamaks. We present a model predictive profile controller that controls the q-profile and plasma beta using power requests to two clusters of gyrotrons and the plasma current request. The performance of the controller is analyzed in both simulation and TCV L-mode discharges where successful tracking of the estimated inverse q-profile as well as plasma beta is demonstrated under uncertain plasma conditions and the presence of disturbances. The controller exploits the knowledge of the time-varying actuator limits in the actuator input calculation itself such that fast transitions between targets are achieved without overshoot. A software environment is employed to prepare and test this and three other profile controllers in parallel in simulations and experiments on TCV. This set of tools includes the rapid plasma transport simulator RAPTOR and various algorithms to reconstruct the plasma equilibrium and plasma profiles by merging the available measurements with model-based predictions. In this work the estimated q-profile is merely based on RAPTOR model predictions due to the absence of internal current density measurements in TCV. These results encourage to further exploit model predictive profile control in experiments on TCV and other (future) tokamaks.

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Section: Controller Development and Implementation Environmentmentioning

confidence: 99%

“…One example of such a system has been used on DIII-D [23] and is now also used at EAST, KSTAR, and NSTX-U [24]. A similar software environment is being prepared for ITER, where it is known as PCSSP [25]. These environments allow to simulate controllers in closed-loop (also on the control system hardware).…”

Section: Introductionmentioning

confidence: 99%

Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller

et al. 2017

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“…a transport solver with free boundary equilibrium capability (and later including also scrape-off-layer and plasma-wall interaction modelling). This plasma simulator, used in conjunction with the plasma control system simulation platform (PCSSP) [9][10][11], forms a full tokamak simulator allowing developing control strategies. This tool is planned to be used systematically as part of the pulse validation procedure, a requisite prior to the execution of any pulse on the real ITER experiment.…”

Section: Imas First Physics Applicationsmentioning

confidence: 99%

Design and first applications of the ITER integrated modelling & analysis suite

Imbeaux¹,

Pinches²,

Lister³

et al. 2015

Nucl. Fusion

111

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The ITER Integrated Modelling & Analysis Suite (IMAS) will support both plasma operation and research activities on the ITER tokamak experiment. The IMAS will be accessible to all ITER members as a key tool for the scientific exploitation of ITER. The backbone of the IMAS infrastructure is a standardized, machine-generic data model that represents simulated and experimental data with identical structures. The other outcomes of the IMAS design and prototyping phase are a set of tools to access data and design integrated modelling workflows, as well as first plasma simulators workflows and components implemented with various degrees of modularity.

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“…Implementation and commissioning time for the real PCS will be substantially reduced as the simulated version already resembled the production version in most aspects. A more detailed description of PCSSP is presented in [9]. Efforts are currently undertaken to stabilize PCSSP for a limited release.…”

Section: Simulation For Pcs and Sup Developmentmentioning

confidence: 99%