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Progress in disruption prevention for ITER

机译:预防国际热核实验堆的进展

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Key plasma physics and real-time control elements needed for robustly stable operation of high fusion power discharges in ITER have been demonstrated in recent research worldwide. Recent analysis has identified the current density profile as the main drive for disruptive instabilities in discharges simulating ITER's baseline scenario with high and low external torque. Ongoing development of model-based profile control and active control of magnetohydrodynamic instabilities is improving the stability of multiple scenarios. Significant advances have been made toward real-time physics-based prediction of instabilities, including path-oriented analysis, active sensing, and machine learning techniques for prediction that are beginning to go beyond simple disruption mitigation trigger applications. Active intervention contributes to prevention of disruptions, including forced rotation of magnetic islands to prevent wall locking, and localized heating/current drive to shrink the islands. Stable discharge rampdowns have been achieved with the fastest ITER-like scaled current ramp rates, while maintaining an X-point configuration. These elements are being integrated into stable operating scenarios and new event-handling systems for off-normal events in order to develop the physics basis and techniques for robust control in ITER.
机译:ITER的高聚变功率放电稳健稳定运行所需的关键等离子体物理和实时控制元件已在全球范围内的最新研究中得到证明。最近的分析已将电流密度分布图确定为放电中破坏性不稳定性的主要驱动因素,模拟了ITER在高外部扭矩和低外部扭矩的情况下的基线不稳定情况。基于模型的轮廓控制和磁流体动力不稳定性的主动控制的持续发展正在提高多种方案的稳定性。基于实时物理的不稳定性预测已经取得了重大进展,包括面向路径的分析,主动感应和用于预测的机器学习技术,这些技术已经超越了简单的干扰缓解触发应用程序。积极干预有助于防止干扰,包括强迫旋转磁性岛以防止壁锁定以及局部加热/电流驱动以缩小岛。在保持X点配置的同时,以最快的ITER比例缩放电流斜率实现了稳定的放电斜率。这些要素已被整合到稳定的操作场景中,以及用于非正常事件的新事件处理系统中,以便为ITER中的鲁棒控制开发物理基础和技术。

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