Real-time physics-model-based simulation of the current density profile in tokamak plasmas
Real-time physics-model-based simulation of the current density profile in tokamak plasmas
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基于物理模型的实时托卡马克等离子体电流密度分布模拟
DOI：
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发表时间：
2011
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通讯作者：
J. Paley
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作者：
F. Felici;O. Sauter;S. Coda;B. Duval;Timothy Goodman;J. Moret;J. Paley
提出了一种新的实时重建托卡马克等离子体电流密度分布的方法。基于实时诊断结合实时Grad-Shafranov解算器的重建的传统方法难以获得具有足够空间和时间精度的可靠内部电流分布测量，以始终具有分布演变的完整图像。提出了一种新的方法，其中的等离子体电流密度分布的实时模拟，通过求解第一原理物理为基础的方程，确定其演变。实际上，实时执行类似于今天在等离子体发射后分析中运行的解释性传输模拟。这提供了电流密度分布的实时重建，其空间和时间分辨率仅受所使用的计算平台的能力的约束，而不受可用诊断或基函数的选择的约束。实时可用的诊断测量用于约束和提高模拟轮廓的准确性。与电流密度分布相关的其他血浆量的估计也变得实时可用。在TCV托卡马克的建议范例的实施进行了讨论，并证明其在等离子体实验中的成功使用。该框架开辟了统一的q剖面重建不同的托卡马克使用一个共同的物理模型的可能性，并将支持丰富的应用程序，其中改进的等离子体状态的实时知识用于反馈控制，中断避免，场景监测和外部干扰估计。
A new paradigm is presented to reconstruct the plasma current density profile in a tokamak in real-time. The traditional method of basing the reconstruction on real-time diagnostics combined with a real-time Grad–Shafranov solver suffers from the difficulty of obtaining reliable internal current profile measurements with sufficient spatial and temporal accuracy to have a complete picture of the profile evolution at all times. A new methodology is proposed in which the plasma current density profile is simulated in real-time by solving the first-principle physics-based equations determining its evolution. Effectively, an interpretative transport simulation similar to those run today in post-plasma shot analysis is performed in real-time. This provides real-time reconstructions of the current density profile with spatial and temporal resolution constrained only by the capabilities of the computational platform used and not by the available diagnostics or the choice of basis functions. The diagnostic measurements available in real-time are used to constrain and improve the accuracy of the simulated profiles. Estimates of other plasma quantities, related to the current density profile, become available in real-time as well. The implementation of the proposed paradigm in the TCV tokamak is discussed, and its successful use in plasma experiments is demonstrated. This framework opens up the possibility of unifying q profile reconstructions across different tokamaks using a common physics model and will support a wealth of applications in which improved real-time knowledge of the plasma state is used for feedback control, disruption avoidance, scenario monitoring and external disturbance estimation.