Model-based dynamic resistive wall mode identification and feedback control in the DIII-D tokamak

Y. In, J. S. Kim, D. H. Edgell, E. J. Strait, D. A. Humphreys, M. L. Walker, G. L. Jackson, M. S. Chu, R. Johnson, R. J. La Haye, M. Okabayashi, A. M. Garofalo, H. Reimerdes

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40 引文 斯高帕斯(Scopus)


A new model-based dynamic resistive wall mode (RWM) identification and feedback control algorithm has been developed. While the overall RWM structure can be detected by a model-based matched filter in a similar manner to a conventional sensor-based scheme, it is significantly influenced by edge-localized-modes (ELMs). A recent study suggested that such ELM noise might cause the RWM control system to respond in an undesirable way. Thus, an advanced algorithm to discriminate ELMs from RWM has been incorporated into this model-based control scheme, dynamic Kalman filter. Specifically, the DIII-D [J. L. Luxon, Nucl. Fusion 42, 614 (2002)] resistive vessel wall was modeled in two ways: picture frame model or eigenmode treatment. Based on the picture frame model, the first real-time, closed-loop test results of the Kalman filter algorithms during DIII-D experimental operation are presented. The Kalman filtering scheme was experimentally confirmed to be effective in discriminating ELMs from RWM. As a result, the actuator coils (I-coils) were rarely excited during ELMs, while retaining the sensitivity to RWM. However, finding an optimized set of operating parameters for the control algorithm requires further analysis and design. Meanwhile, a more advanced Kalman filter based on a more accurate eigenmode model has been developed. According to this eigenmode approach, significant improvement in terms of control performance has been predicted, while maintaining good ELM discrimination.

期刊Physics of Plasmas
出版狀態Published - 2006

All Science Journal Classification (ASJC) codes

  • 凝聚態物理學


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