Real-time plasma boundary shape reconstruction using visible camera on EAST tokamak
Abstract Accurate plasma shape reconstruction is crucial for the stable operation of tokamak devices. In this study, a plasma optical boundary reconstruction system is constructed on the Experimental Advanced Superconducting Tokamak (EAST), and real-time shape reconstruction based on an optical method is realized for the first time on EAST. First, a boundary extraction algorithm based on gray features is designed to extract the optical boundary from plasma optical images. Then, to reconstruct the optical boundary in the tokamak coordinate system, a camera calibration algorithm is developed based on feature point matching, and a coordinate mapping algorithm is designed based on plasma geometric features. Then, the system reconstructs the plasma boundary shape based on images acquired by a camera. Finally, the system is deployed in real-time on EAST, and its reconstruction rate meets the requirement of the EAST plasma shape control system. This study validates the feasibility of using an optical boundary shape reconstruction method on a tokamak device for real-time plasma shape reconstruction, providing a new shape reconstruction approach during steady-state discharge in future fusion devices.
Authors
- Yao Huang (ORCID: https://orcid.org/0000-0002-7247-7786)
- Qirui Zhang (ORCID: https://orcid.org/0009-0003-1125-3177)
- Bihao Guo (ORCID: https://orcid.org/0000-0003-2630-5796)
- Jianhua Yang (ORCID: https://orcid.org/0000-0003-1354-9230)
- Dalong Chen (ORCID: https://orcid.org/0000-0001-7093-3154)
- Ming Chen (ORCID: https://orcid.org/0000-0001-5062-2906)
- Biao Shen
Institutions
- University of Science and Technology of China (CN)
- Chinese Academy of Sciences (CN)
- Hefei Institutes of Physical Science (CN)
Publication Details
- Journal
- Nuclear Fusion
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1088/1741-4326/ad933e
- Citations
- 6
- Primary Topic
- Magnetic confinement fusion research
- Type
- article
- Field-Weighted Citation Impact
- 3.96
Funders
- National Natural Science Foundation of China