Model Predictive Control with Time Varying Parameters for Plasma Shape and Current in a Tokamak

被引:0
作者
Mitrishkin, Yuri, V [1 ]
Kartsev, Nikolay M. [2 ]
Korenev, Pavel S. [2 ]
Patrov, Mikhail, I [3 ]
机构
[1] Moscow MV Lomonosov State Univ, Fac Phys, Moscow 119991, Russia
[2] Russian Acad Sci, VA Trapeznikov Inst Control Sci, Moscow 117997, Russia
[3] Ioffe Inst, St Petersburg 194021, Russia
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
基金
俄罗斯科学基金会; 俄罗斯基础研究基金会;
关键词
tokamak; plasma; predictive control; time-varying systems; adaptive control; SYSTEMS;
D O I
10.1016/j.ifacol.2020.12.083
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Synthesis and modeling of the advanced time-varying magnetic control system for plasma shape and current on the base of the Model Predictive Control principle in a tokamak is considered. The study was done for the Globus-M2 tokamak (Ioffe Institute, St. Petersburg, RF). The system presented has a hierarchical structure with a time-varying Model Predictive Controller at the top level and robust time-invariant controllers at the low level. The approach of adaptation of the plasma magnetic axis position to the shape parameters is used to resolve the contradiction between plasma position and shape. Numerical modeling of the control system synthesized has shown the efficiency of the proposed approach and a possibility to apply it in physical experiments. Copyright (C) 2020 The Authors.
引用
收藏
页码:6631 / 6636
页数:6
相关论文
共 50 条
  • [1] Robust Cascade LMI Design of MIMO Control System for Plasma Position, Current, and Shape Model with Time-Varying Parameters in a Tokamak
    Konkov, Artem E.
    Mitrishkin, Yuri, V
    Korenev, Pavel S.
    Patrov, Mikhail, I
    IFAC PAPERSONLINE, 2020, 53 (02): : 7344 - 7349
  • [2] Robust H∞ switching MIMO control for a plasma time-varying parameter model with a variable structure in a tokamak
    Mitrishkin, Yuri V.
    Prohorov, Artem A.
    Korenev, Pavel S.
    Patrov, Mikhail I.
    IFAC PAPERSONLINE, 2017, 50 (01): : 11385 - 11390
  • [3] Nonlinear methods for current limit constraint satisfaction in tokamak plasma shape control
    Walker, ML
    Humphreys, DA
    Johnson, RD
    Leuer, JA
    FUSION SCIENCE AND TECHNOLOGY, 2005, 47 (03) : 790 - 795
  • [4] Model predictive control of ITER plasma current and shape using singular-value decomposition
    Gerksic, Samo
    Pregelj, Bogtjan
    Perne, Matija
    Ariola, Marco
    De Tommasi, Gianmaria
    Pironti, Alfredo
    FUSION ENGINEERING AND DESIGN, 2018, 129 : 158 - 163
  • [5] Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters
    Xu, Xiaokang
    Peng, Jun
    Zhang, Rui
    Chen, Bin
    Zhou, Feng
    Yang, Yingze
    Gao, Kai
    Huang, Zhiwu
    JOURNAL OF ADVANCED TRANSPORTATION, 2019, 2019
  • [6] Adaptive model predictive control for linear time varying MIMO systems
    Tanaskovic, Marko
    Fagiano, Lorenzo
    Gligorovski, Vojislav
    AUTOMATICA, 2019, 105 : 237 - 245
  • [7] Stabilizing predictive control for linear periodically time varying systems
    Zhang, JX
    LOW COST AUTOMATION 1998 (LCA'98), 1999, : 221 - 225
  • [8] A Novel Control Strategy Based on an Adaptive Fuzzy Model Predictive Control for Frequency Regulation of a Microgrid With Uncertain and Time-Varying Parameters
    Negahban, Masoud
    Ardalani, Mohammadreza Vazifeh
    Mollajafari, Morteza
    Akbari, Ehsan
    Talebi, Majid
    Pouresmaeil, Edris
    IEEE ACCESS, 2022, 10 : 57514 - 57524
  • [9] ADAPTIVE PREDICTIVE CONTROL OF SYSTEMS WITH TIME-VARYING TIME-DELAY
    DUMONT, GA
    ELNAGGAR, A
    ELSHAFEI, A
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1993, 7 (02) : 91 - 101
  • [10] Integrated plasma shape and boundary flux control on JET tokamak
    Ariola, Marco
    De Tommasi, Gianmaria
    Mazon, Didier
    Moreau, Didier
    Piccolo, Fabio
    Pironti, Alfredo
    Sartori, Filippo
    Zabeo, Luca
    Contributors, Jet-Efda
    FUSION SCIENCE AND TECHNOLOGY, 2008, 53 (03) : 789 - 805