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Real-time diagnostics at ASDEX Upgrade-Integration with MHD feedback control

机译:带有MHD反馈控制的ASDEX升级集成中的实时诊断

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At the ASDEX Upgrade tokamak experiment, a new feedback control loop is under construction with the aim of stabilizing magneto-hydrodynamic (MHD) instabilities, such as neoclassical tearing modes and sawteeth. It uses the mirrors of the electron cyclotron heating (ECH) launchers, which can be steered in real-time to guide each beam to the position needed to stabilize and suppress the mode. The control system needs highly specialized plasma state information such as island position and ECH beam deposition locations in real-time. Data from several diagnostic systems, like electron cyclotron emission (ECE), magnetic measurements and motional Stark effect must be combined in real-time to obtain the required information. These systems strongly differ in sampling characteristics and time resolutions. High sampling rates as 2 MHz for ECE are often required to provide enough data for correlation or frequency analysis. On the other hand, complex analysis methods, such as equilibrium and profile reconstruction, may operate on slower rates of some milliseconds and need tight interaction with measurement systems and high computing power. In this paper, we describe a concept for distributed real-time diagnostic data handling, integration of data from several asynchronous diagnostic systems, and connection to the discharge control system for a broad spectrum of requirements. The system is structured into distributed diagnostic computer clusters, a real-time signal server to combine all information, and the discharge control system. While the focus is currently on MHD control, further real-time diagnostic related applications will be added in future.
机译:在ASDEX升级托卡马克实验中,一个新的反馈控制回路正在构建中,目的是稳定磁流体动力学(MHD)的不稳定性,例如新古典的撕裂模式和锯齿。它使用电子回旋加速器(ECH)发射器的反射镜,可以实时操纵这些反射镜,以将每个束引导到稳定和抑制模式所需的位置。控制系统需要高度专业的等离子体状态信息,例如实时的岛位置和ECH束沉积位置。来自多个诊断系统的数据,例如电子回旋加速器发射(ECE),磁测量和运动斯塔克效应,必须实时进行组合以获得所需的信息。这些系统在采样特性和时间分辨率方面存在很大差异。 ECE通常需要2 MHz的高采样率,才能提供足够的数据进行相关或频率分析。另一方面,复杂的分析方法(例如平衡和轮廓重建)可能以几毫秒的较慢速率运行,并且需要与测量系统紧密交互并需要高计算能力。在本文中,我们描述了一种分布式实时诊断数据处理,来自多个异步诊断系统的数据集成以及到排放控制系统的连接以满足各种需求的概念。该系统由分布式诊断计算机集群,组合所有信息的实时信号服务器和排放控制系统组成。虽然当前的重点是MHD控制,但将来会添加更多与实时诊断相关的应用程序。

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