Toward Real-Time Electromagnetic Simulations of HTS Non-Insulated Coils Through Proper Orthogonal Decomposition

被引:1
作者
Sorti, Stefano [1 ,2 ]
Balconi, Lorenzo [1 ,2 ]
Rossi, Lucio [1 ,2 ]
Santini, Carlo [2 ]
Statera, Marco [2 ]
机构
[1] Univ Milan, Dept Phys, I-20133 Milan, Italy
[2] Natl Inst Nucl Phys INFN Milan, LASA Lab, I-20090 Segrate, Italy
关键词
Computational modeling; Mathematical models; Coils; Electric potential; Vectors; High-temperature superconductors; Magnets; Electromagnetics; Biological system modeling; Superconducting magnets; Computational modelling; current density; electromagnetics; HTS; NI coils; MODEL ORDER REDUCTION; SUPERCONDUCTORS; SYSTEMS;
D O I
10.1109/TASC.2025.3526741
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Advanced automation tools are promising wide-range solutions for the various problems still affecting High-Temperature Superconducting (HTS) magnets, including Non-Insulated (NI) ones. However, they are not applicable if reliable models that can run in real-time are not available. This article discusses a preliminary solution for this. For this scope, we propose the construction of reduced-order models, derived from 3D physical-based models. A Volume Integral Formulation (VIM) is presented and reduced using a technique called Proper Orthogonal Decomposition (POD). VIM solves for currents in the conducting domains, relying on Biot-Savart for interactions between elements; meshing insulating domains, such as air, is thus not needed. POD is a reduction technique where the most relevant information is retrieved by processing the full-system response through factorizations such as Singular Value Decomposition. The reduced and full models are then compared, showing that the former offers accurate solutions with a fraction of the computation effort of the latter. Finally, some potential applications of this technique are briefly discussed.
引用
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页数:5
相关论文
共 39 条
  • [1] Albanese R, 1998, ADV IMAG ELECT PHYS, V102, P1
  • [2] Nonlinear Optimal Control of No-Insulation and Controlled-Insulation HTS Coils and Magnets
    Balconi, Lorenzo
    De Matteis, Ernesto
    Rossi, Lucio
    Santini, Carlo
    Sorti, Stefano
    Statera, Marco
    [J]. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2024, 34 (05) : 1 - 5
  • [3] Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective
    Baur, Ulrike
    Benner, Peter
    Feng, Lihong
    [J]. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2014, 21 (04) : 331 - 358
  • [4] Explicit Model Predictive Control of DC-DC Switched-Mode Power Supplies With Extended Kalman Filtering
    Beccuti, Andrea Giovanni
    Mariethoz, Sebastien
    Cliquennois, Sebastien
    Wang, Shu
    Morari, Manfred
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (06) : 1864 - 1874
  • [5] Bennett P, 2021, MUSIC AND POWER AT THE COURT OF LOUIS XIII: SOUNDING THE LITURGY IN EARLY MODERN FRANCE, P1
  • [6] THE PROPER ORTHOGONAL DECOMPOSITION IN THE ANALYSIS OF TURBULENT FLOWS
    BERKOOZ, G
    HOLMES, P
    LUMLEY, JL
    [J]. ANNUAL REVIEW OF FLUID MECHANICS, 1993, 25 : 539 - 575
  • [7] A comparison of model reduction techniques from structural dynamics, numerical mathematics and systems and control
    Besselink, B.
    Tabak, U.
    Lutowska, A.
    van de Wouw, N.
    Nijmeijer, H.
    Rixen, D. J.
    Hochstenbach, M. E.
    Schilders, W. H. A.
    [J]. JOURNAL OF SOUND AND VIBRATION, 2013, 332 (19) : 4403 - 4422
  • [8] Towards an adaptive POD/SVD surrogate model for aeronautic design
    Braconnier, T.
    Ferrier, M.
    Jouhaud, J. -C.
    Montagnac, M.
    Sagaut, P.
    [J]. COMPUTERS & FLUIDS, 2011, 40 (01) : 195 - 209
  • [9] Chatterjee A, 2000, CURR SCI INDIA, V78, P808
  • [10] Daversin C, 2017, MS A MOD SIMUL, V17, P17, DOI 10.1007/978-3-319-58786-8_2