Identification of Plasma Current Center by Neural Network Inference in EAST
文献类型：期刊论文
| 作者 | Zhu, Zijian2,3; Li, Jiangang2,3 ; Xiao, Bingjia2,3; Xu, Xueqiao4; Yang, Fei1; Guo, Yong3
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| 刊名 | IEEE TRANSACTIONS ON PLASMA SCIENCE
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| 出版日期 | 2020 |
| 卷号 | 48 |
| 关键词 | Neural networks plasma measurements real-time plasma shape reconstruction |
| ISSN号 | 0093-3813 |
| DOI | 10.1109/TPS.2019.2951367 |
| 通讯作者 | Yang, Fei(fyang@ipp.ac.cn) |
| 英文摘要 | For the efficient and safe operation of experimental advanced superconducting tokamak (EAST), it is necessary to accurately identify and control the plasma current and its central position. In this article, neural network is used to identify the position of the plasma current center. The model trained by the basic back-propagation neural network can well match the relationship between the electromagnetic diagnostic signals and plasma current center positions. Both noisy simulation data and experimental data are applied to train and test the neural network inference model. Adding 0.1% noise to the training data is proven to improve the noise immunity of the inference model. Basic neural networks trained with both noisy simulation data and actual experimental data show good results with sufficient inputs; however, in both cases, the performance degrades significantly when only the poloidal field coil currents are given as inputs. For this kind of time-series problem, the dynamic neural network containing delay and feedback architecture is introduced, and an improved model requiring much fewer inputs is trained and tested for current center inference. Some parameters of this model are compared and analyzed in this article. With suitable neural network architecture, the mapping between the controlled variables (poloidal field coil currents) and response variables (plasma current center) can be well-established. |
| 资助项目 | National Magnetic Confinement Fusion Energy R&D Program of China[2018YFE0302100] ; National Natural Science Foundation of China[11575245] ; National Natural Science Foundation of China[11805236] ; National Natural Science Foundation of China[11905256] ; National Key Research and Development Program of China[2017YFE0300500] ; Young and Middle-Aged Academic Back-Bone Finance Fund from Anhui Medical University |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000519212100008 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Magnetic Confinement Fusion Energy R&D Program of China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Young and Middle-Aged Academic Back-Bone Finance Fund from Anhui Medical University |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/103813]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Yang, Fei |
| 作者单位 | 1.Anhui Med Univ, Dept Med Informat Engn, Hefei 230032, Peoples R China 2.Univ Sci & Technol China, Dept Engn & Appl Phys, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China 4.Lawrence Livermore Natl Lab, Livermore, CA 94550 USA |
| 推荐引用方式 GB/T 7714 | Zhu, Zijian,Li, Jiangang,Xiao, Bingjia,et al. Identification of Plasma Current Center by Neural Network Inference in EAST[J]. IEEE TRANSACTIONS ON PLASMA SCIENCE,2020,48. |
| APA | Zhu, Zijian,Li, Jiangang,Xiao, Bingjia,Xu, Xueqiao,Yang, Fei,&Guo, Yong.(2020).Identification of Plasma Current Center by Neural Network Inference in EAST.IEEE TRANSACTIONS ON PLASMA SCIENCE,48. |
| MLA | Zhu, Zijian,et al."Identification of Plasma Current Center by Neural Network Inference in EAST".IEEE TRANSACTIONS ON PLASMA SCIENCE 48(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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