English(EN) Real-time virtual circuits for plasma shape control via neural network emulators

神经网络实现等离子体实时控制电路

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-14 15:15

研究人员开发了神经网络模拟器，用于在托卡马克装置中生成用于等离子体形状实时控制的虚拟电路。该方法使用大量的模拟平衡数据集来训练模拟器，模拟器可以快速推导出精确的控制向量。该方法旨在改进依赖预计算虚拟电路的传统技术，因为等离子体配置的演变会导致这些技术的性能下降。 AI

影响这项研究可能为聚变能源装置带来更精确、响应更快的控制系统。

排序理由该集群包含一篇学术论文，详细介绍了使用神经网络进行等离子体控制的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Graham McArdle · 2026-05-14 15:15

用于通过神经网络模拟器进行等离子体形状控制的实时虚拟电路

Reliable position and shape control in tokamak plasmas requires accurate real-time regulation of several strongly coupled shape parameters. The control vectors that disentangle these couplings, referred to as \textit{virtual circuits} (VCs), enable independent shape parameter con…