NDLI: PTRANSP simulation and experimental test of a robust current profile and βN controller for off-axis current drive scenarios in the DIII-D tokamak

Content Provider	IEEE Xplore Digital Library
Author	Wenyu Shi Wehner, W. Barton, J. Boyer, M.D. Schuster, E. Kritz, A. Moreau, D. Luce, T.C. Ferron, J.R. Walker, M.L. Humphreys, D.A. Penaflor, B.G. Johnson, R.
Copyright Year	2013
Description	Author affiliation: IRFM, CEA, St. Paul-lez-Durance, France (Moreau, D.) \|\| Dept. of Mech. Eng. & Mech., Lehigh Univ., Bethlehem, PA, USA (Wenyu Shi; Wehner, W.; Barton, J.; Boyer, M.D.; Schuster, E.) \|\| Dept. of Phys., Lehigh Univ., Bethlehem, PA, USA (Kritz, A.) \|\| Gen. Atomics, San Diego, CA, USA (Luce, T.C.; Ferron, J.R.; Walker, M.L.; Humphreys, D.A.; Penaflor, B.G.; Johnson, R.)
Abstract	During the tokamak discharge, especially the ramp-up phase, the plasma state equilibrium continually evolves. As a consequence, the plasma response model should evolve as well. We first identified a linear plasma response model of the rotational transform ι profile and $β_{N}$ around a desired equilibrium. Then, an uncertainty is introduced to the identified model to partially account for the dynamic character of the plasma state equilibrium evolution. A robust controller is designed to stabilize this family of plasma models, which are reformulated into a nominal model with uncertainty. A singular value decomposition (SVD) of the nominal identified model is carried out to decouple and identify the most relevant control channels in steady-state. The DK-iteration method, combining $H_{∞}$ synthesis and μ analysis, is applied to synthesize a closed-loop controller that minimizes the tracking error and input effort. The feedback controller is then augmented with an anti-windup compensator, which keeps the given profile controller well-behaved in the presence of magnitude constraints in the actuators and leaves the nominal closed-loop unmodified when no saturation is present. PTRANSP simulations and experimental results in DIII-D illustrate the performance of the model-based controller.
Starting Page	1225
Ending Page	1230
File Size	464223
Page Count	6
File Format	PDF
ISBN	9781479901777
ISSN	07431619
e-ISBN	9781479901784
DOI	10.1109/ACC.2013.6580003
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Tokamaks Feedforward neural networks Robustness Transforms Steady-state Adaptive control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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