TL;DR
The paper introduces REGCOIL, an improved method for fast and robust computation of stellarator coil shapes that outperforms traditional techniques in accuracy, control, and convergence, enhancing coil design and plasma shaping.
Contribution
The paper presents REGCOIL, a novel regularization approach that improves coil shape computation by reducing current density and magnetic field errors, ensuring convergence and independence from parameterization.
Findings
REGCOIL achieves lower current density and magnetic field errors compared to NESCOIL.
The method improves coil-to-coil distances and access for maintenance.
REGCOIL ensures convergence and parameterization independence.
Abstract
Several fast methods for computing stellarator coil shapes are compared, including the classical NESCOIL procedure [Merkel, Nucl. Fusion 27, 867 (1987)], its generalization using truncated singular value decomposition, and a Tikhonov regularization approach we call REGCOIL in which the squared current density is included in the objective function. Considering W7-X and NCSX geometries, and for any desired level of regularization, we find the REGCOIL approach simultaneously achieves lower surface-averaged and maximum values of both current density (on the coil winding surface) and normal magnetic field (on the desired plasma surface). This approach therefore can simultaneously improve the free-boundary reconstruction of the target plasma shape while substantially increasing the minimum distances between coils, preventing collisions between coils while improving access for ports and…
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