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Data-driven robust control of the plasma rotational transform profile and normalized beta dynamics for advanced tokamak scenarios in DIII-D

机译:DIII-D中高级托卡马克场景的数据旋转鲁棒控制等离子体旋转变换轮廓和标准化β动力学

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A control-oriented, two-timescale, linear, dynamic, response model of the rotational transform iota profile and the normalized beta beta(N) is proposed based on experimental data from the DIII-D tokamak. Dedicated system-identification experiments without feedback control have been carried out to generate data for the development of this model. The data-driven dynamic model, which is both device-specific and scenario-specific, represents the response of the iota profile and beta(N) to the electric field due to induction as well as to the heating and current drive (H&CD) systems during the flat-top phase of an H-mode discharge in DIII-D. The control goal is to use both induction and the H&CD systems to locally regulate the plasma iota profile and beta(N) around particular target values close to the reference state used for system identification. A singular value decomposition (SVD) of the plasma model at steady state is carried out to decouple the system and identify the most relevant control channels. A mixed-sensitivity robust control design problem is formulated based on the dynamic model to synthesize a stabilizing feedback controller without input constraints that minimizes the reference tracking error and rejects external disturbances with minimal control energy. The feedback controller is then augmented with an anti-windup compensator, which keeps the given controller well-behaved in the presence of magnitude constraints in the actuators and leaves the nominal closed-loop system unmodified when no saturation is present. The proposed controller represents one of the first feedback profile controllers integrating magnetic and kinetic variables ever implemented and experimentally tested in DIII-D. The preliminary experimental results presented in this work, although limited in number and constrained by actuator problems and design limitations, as it will be reported, show good progress towards routine current profile control in DIII-D and leave valuable lessons for further advancements in the field. (C) 2017 Elsevier B.V. All rights reserved.
机译:基于DIII-D托卡马克的实验数据,提出了旋转变换的iota轮廓和归一化的beta beta(N)的面向控制的,两尺度,线性,动态的响应模型。已经进行了没有反馈控制的专用系统识别实验,以生成用于开发该模型的数据。数据驱动的动态模型(特定于设备且特定于场景)代表了iota轮廓和beta(N)对感应产生的电场以及加热和电流驱动(H&CD)系统的响应在DIII-D中H模式放电的平顶阶段。控制目标是使用感应系统和H&CD系统在特定目标值附近局部调节血浆Iota分布和beta(N),使其接近用于系统识别的参考状态。在稳态下执行等离子体模型的奇异值分解(SVD)来解耦系统并确定最相关的控制通道。基于动态模型制定了混合灵敏度鲁棒控制设计问题,以合成没有输入约束的稳定反馈控制器,该控制器将参考跟踪误差降至最低,并以最小的控制能量抑制了外部干扰。然后,在反馈控制器上增加一个抗饱和补偿器,该补偿器在执行器中存在幅度限制的情况下使给定的控制器保持良好的性能,并在不存在饱和时保持标称闭环系统不变。提出的控制器代表了最早的反馈曲线控制器之一,该控制器集成了曾经在DIII-D中实现并通过实验测试的磁和动力学变量。这项工作中提出的初步实验结果,尽管数量有限,并受到执行器问题和设计局限性的限制(正如将要报道的那样),显示了DIII-D在常规电流轮廓控制方面的良好进展,并为该领域的进一步发展留下了宝贵的经验教训。 (C)2017 Elsevier B.V.保留所有权利。

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