TY - JOUR
T1 - MHD, disruptions and control physics
T2 - Chapter 4 of the special issue: on the path to tokamak burning plasma operation
AU - the ITPA MHD, Disruption and Control Topical Group
AU - Bandyopadhyay, I.
AU - Igochine, V.
AU - Sauter, O.
AU - Sabbagh, S.
AU - Park, J. K.
AU - Nardon, E.
AU - Villone, F.
AU - Maraschek, M.
AU - Pautasso, G.
AU - Eidietis, N.
AU - Jardin, Stephen Charles
AU - Humphreys, D.
AU - Dubrov, M.
AU - Artola, F.
AU - de Baar, M.
AU - Bardóczi, L.
AU - Baylor, L.
AU - Berkery, John William
AU - Boozer, A.
AU - Cannas, B.
AU - Chen, Z.
AU - Esposito, B.
AU - Fanni, A.
AU - Ferraro, Nathaniel M.
AU - Fitzpatrick, R.
AU - Gerasimov, S.
AU - Goodman, T.
AU - Granetz, R.
AU - Granucci, G.
AU - Graves, J.
AU - Gribov, Y.
AU - Gude, A.
AU - Hoelzl, M.
AU - Hollmann, E.
AU - Hu, Qiming
AU - Hu, W.
AU - In, Y.
AU - Isayama, A.
AU - Isernia, N.
AU - Jachmich, S.
AU - Kavin, A.
AU - Khayrutdinov, R.
AU - Kim, G.
AU - Kong, M.
AU - Kudláček, O.
AU - Lehnen, M.
AU - Liu, Y.
AU - Logan, N.
AU - Menard, Jonathan Edward
AU - Yang, SeongMoo
N1 - Publisher Copyright:
© 2025 The Author(s). Published by IOP Publishing Ltd on behalf of the IAEA.
PY - 2025/10/1
Y1 - 2025/10/1
N2 - In this chapter, we review the progress in MHD stability, disruptions and control in magnetic fusion research that has occurred over the past (more than) one and a half decades since the publication by Hender et al in 2007 on the same topic as part of the update of ITER Physics Basis. During this period, remarkable progress has been achieved in the understanding of the basic physics and overall control of MHD instabilities through a wide spectrum of dedicated experiments, theory and modeling. The sawtooth activities are probably today one of the best understood of MHD events and very robust control schemes have been developed for reliable operation of tokamaks through core heating. Similarly, significant improvements have been achieved in understanding and control of neoclassical tearing modes, resistive wall modes or locked modes and their control through ECCD or error field control. The field of disruption prediction through application of artificial intelligence, machine learning or deep learning methods, which had already started at the time of the 2007 review, has progressed significantly due to general progress in these fields and application of newer, more sophisticated algorithms. However, although remarkable progress has been achieved in the field of Disruptions, their understanding, prediction, possible avoidance and mitigation still remain probably the most active fields of R&D globally in this field. This is especially because reactor grade machines like ITER and DEMO will be much less tolerant in respect of disruptions and runaway currents, and their occurrences must be either avoided altogether or minimized to an acceptable value without causing any significant hindrance to robust machine operations. This review is intended to present a broad spectrum of the R&D that has occurred in this field in support of ITER, which will also be of immense significance for all future machines, especially reactors like DEMO.
AB - In this chapter, we review the progress in MHD stability, disruptions and control in magnetic fusion research that has occurred over the past (more than) one and a half decades since the publication by Hender et al in 2007 on the same topic as part of the update of ITER Physics Basis. During this period, remarkable progress has been achieved in the understanding of the basic physics and overall control of MHD instabilities through a wide spectrum of dedicated experiments, theory and modeling. The sawtooth activities are probably today one of the best understood of MHD events and very robust control schemes have been developed for reliable operation of tokamaks through core heating. Similarly, significant improvements have been achieved in understanding and control of neoclassical tearing modes, resistive wall modes or locked modes and their control through ECCD or error field control. The field of disruption prediction through application of artificial intelligence, machine learning or deep learning methods, which had already started at the time of the 2007 review, has progressed significantly due to general progress in these fields and application of newer, more sophisticated algorithms. However, although remarkable progress has been achieved in the field of Disruptions, their understanding, prediction, possible avoidance and mitigation still remain probably the most active fields of R&D globally in this field. This is especially because reactor grade machines like ITER and DEMO will be much less tolerant in respect of disruptions and runaway currents, and their occurrences must be either avoided altogether or minimized to an acceptable value without causing any significant hindrance to robust machine operations. This review is intended to present a broad spectrum of the R&D that has occurred in this field in support of ITER, which will also be of immense significance for all future machines, especially reactors like DEMO.
KW - control
KW - disruption avoidance
KW - error Fields
KW - MHD
KW - prediction and mitigation
KW - RWM
KW - sawteeth
KW - [N]TM
UR - https://www.scopus.com/pages/publications/105015813570
UR - https://www.scopus.com/pages/publications/105015813570#tab=citedBy
U2 - 10.1088/1741-4326/ade7a0
DO - 10.1088/1741-4326/ade7a0
M3 - Review article
AN - SCOPUS:105015813570
SN - 0029-5515
VL - 65
JO - Nuclear Fusion
JF - Nuclear Fusion
IS - 10
M1 - 103001
ER -