Fast coil complexity and force proxy based on global coil optimization
POSTER
Abstract
Most present stellarator designs are produced by costly two-stage optimization: the first for an optimized equilibrium, and the second for a coil design reproducing its magnetic configuration. Few proxies for coil complexity and forces exist at the equilibrium stage. Rapid initial state finding for both stages is a topic of active research. Most present fast coil optimization codes use the least square winding surface method by Merkel (NESCOIL) [1], with recent improvement in conditioning [2], regularization [3], sparsity [4] and physics objectives [5]. While elegant, the method is limited to modeling the norms of linear functions in coil current. We present QUADCOIL, a fast, global coil optimization method that targets quadratic functions of the current. It can directly constrain and/or minimize a wide range of physics objectives unavailable in NESCOIL and REGCOIL, including the Lorentz force [6], magnetic energy, curvature, and field-current alignment. QUADCOIL requires no initial guess and runs nearly 50x faster than filament optimization. Integrating it in the equilibrium optimization stage can potentially exclude equilibria with difficult-to-design coils, without significantly impacting the computation time per iteration. QUADCOIL finds the exact global minimum in a large parameter space when possible and otherwise finds a well-performing approximate global minimum. It supports most regularization techniques developed for NESCOIL and REGCOIL. We demonstrate QUADCOIL's effectiveness in coil topology control, minimizing non-convex penalties and, most importantly, predicting filament coil complexity and force without costly filament optimization.
*This research is supported by the DOE SciDAC project HifiStell.
Publication:1. P. Merkel. Solution of stellarator boundary value problems with external currents. Nuclear Fusion, 27(5):867–871, May 1987. 2. Allen H. Boozer. Optimization of the current potential for stellarator coils. Physics of Plasmas, 7(2):629–634, February 2000. 3. Matt Landreman. An improved current potential method for fast computation of stellarator coil shapes. Nuclear Fusion, 57(4):046003, April 2017. 4. Alan A. Kaptanoglu, Gabriel P. Langlois, and Matt Landreman. Topology optimization for inverse magnetostatics as sparse regression: Application to electromagnetic coils for stellarators. Computer Methods in Applied Mechanics and Engineering, 418:116504, January 2024. 5. N Pomphrey, L Berry, A Boozer, A Brooks, R.E Hatcher, S.P Hirshman, L.-P Ku, W.H Miner, H.E Mynick, W Reiersen, D.J Strickler, and P.M Valanju. Innovations in compact stellarator coil design. Nuclear Fusion, 41(3):339–347, March 2001. 6. Rémi Robin and Francesco A. Volpe. Minimization of magnetic forces on stellarator coils. Nuclear Fusion, 62(8):086041, August 2022.