Real-time implementation of the high-fidelity NBI code RABBIT into the discharge control system of ASDEX Upgrade

被引:4
|
作者
Weiland, M. [1 ]
Bilato, R. [1 ]
Sieglin, B. [1 ]
Felici, F. [2 ,3 ]
Giannone, L. [1 ]
Kudlacek, O. [1 ]
Rampp, M. [4 ]
Scheffer, M. [2 ]
Treutterer, W. [1 ]
Zehetbauer, T. [1 ]
机构
[1] Max Planck Inst Plasma Phys, Garching, Germany
[2] Tech Univ Eindhoven, Eindhoven, Netherlands
[3] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
[4] Max Planck Comp & Data Facil MPCDF, Garching, Germany
关键词
tokamak; plasma control; Fokker-Planck; numerical noise; non-constant time-steps; fast ions; energetic particles; MAGNETIC EQUILIBRIUM RECONSTRUCTION;
D O I
10.1088/1741-4326/acc31c
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
For the first time, a real-time capable NBI code, which has a comparable fidelity to the much more computationally expensive Monte Carlo codes such as NUBEAM, has been coupled to the discharge control system of a tokamak. This implementation has been done at ASDEX Upgrade and is presented in this paper. Modifications to the numerical scheme of RABBIT for the time-dependent solution of the Fokker-Planck equation have been carried out to make it compatible with the non-equidistant time-steps, as they occur in real-time simulations. We demonstrate that this allows RABBIT to run in real-time both in a steady-state and time-dependent fashion and show and discuss an actual real-time simulation. Its accuracy is identified by comparing to offline RABBIT and TRANSP-NUBEAM runs (where more diagnostics are available for preciser inputs).
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Nonlinear Behavioral Modeling and Real-Time Simulation of Electric Propulsion System for the High-Fidelity X-in-the-Loop Applications
    Bai, Hao
    Li, Qian
    Luo, Huan
    Huangfu, Yigeng
    Gao, Fei
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2023, 9 (01) : 1708 - 1722
  • [42] High-fidelity 3D real-time facial animation using infrared structured light sensing system
    Ye, Yuping
    Song, Zhan
    Zhao, Juan
    COMPUTERS & GRAPHICS-UK, 2022, 104 : 46 - 58
  • [43] Demo: BuildTwin: Towards Real-time High-fidelity Digital Twin for Smart Building Management
    Liang, Zhizhao
    Jin, Yichao
    Singh, Jagdeep
    Khan, Aftab
    2023 IEEE 31ST INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS, ICNP, 2023,
  • [44] Real-Time and High-Fidelity Tracking of Lysosomal Dynamics with a Dicyanoisophorone-Based Fluorescent Probe
    Hong, Jiaxin
    Li, Qianhua
    Xia, Qingfeng
    Feng, Guoqiang
    ANALYTICAL CHEMISTRY, 2021, 93 (50) : 16956 - 16964
  • [45] Using machine learning and real-time workload assessment in a high-fidelity UAV simulation environment
    Monfort, Samuel S.
    Sibley, Ciara M.
    Coyne, Joseph T.
    NEXT-GENERATION ANALYST IV, 2016, 9851
  • [46] Surrogate Modeling of High-Fidelity Fracture Simulations for Real-Time Residual-Strength Predictions
    Spear, Ashley D.
    Priest, Amanda R.
    Veilleux, Michael G.
    Ingraffea, Anthony R.
    Hochhalter, Jacob D.
    AIAA JOURNAL, 2011, 49 (12) : 2770 - 2782
  • [47] High-fidelity pose estimation for real-time extended reality (XR) visualization for cardiac catheterization
    Annabestani, Mohsen
    Sriram, Sandhya
    Caprio, Alexandre
    Janghorbani, Sepehr
    Wong, S. Chiu
    Sigaras, Alexandros
    Mosadegh, Bobak
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [48] Minimally Invasive Live Tissue High-Fidelity Thermophysical Modeling Using Real-Time Thermography
    El-Kebir, Hamza
    Ran, Junren
    Lee, Yongseok
    Chamorro, Leonardo P.
    Ostoja-Starzewski, Martin
    Berlin, Richard
    Cornejo, Gabriela M. Aguiluz
    Benedetti, Enrico
    Giulianotti, Pier C.
    Bentsman, Joseph
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 70 (06) : 1849 - 1857
  • [49] A high-fidelity real-time capable dynamic discretized model of proton exchange membrane fuel cells for the development of control strategies
    Liu, Yingxu
    Dirkes, Steffen
    Kohrn, Markus
    Wick, Maximilian
    Pischinger, Stefan
    JOURNAL OF POWER SOURCES, 2022, 537
  • [50] Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model
    Obajemu, Olusayo
    Mahfouf, Mahdi
    Maiyar, Lohithaksha M.
    Al-Hindi, Abrar
    Weiszer, Michal
    Chen, Jun
    ENGINEERING, 2021, 7 (04) : 495 - 506