Improved Plasma Vertical Position Control on TCV Using Model-Based Optimized Controller Synthesis

被引:12
|
作者
Pesamosca, Federico [1 ,2 ]
Felici, Federico [1 ]
Coda, Stefano [1 ]
Galperti, Cristian [1 ]
机构
[1] Ecole Polytech Fed Lausanne EPFL, Swiss Plasma Ctr SPC, CH-1015 Lausanne, Switzerland
[2] Max Planck Inst Plasma Phys, Boltzmannstr 2, D-85748 Garching, Germany
基金
瑞士国家科学基金会;
关键词
Tokamak; TCV; magnetic control; vertical instability; H-infinity; FEEDBACK STABILIZATION; AXISYMMETRICAL MODES; MAGNETIC CONTROL; TOKAMAK; STABILITY; SHAPE; EQUILIBRIUM; ITER; IMPLEMENTATION; CONFIGURATION;
D O I
10.1080/15361055.2022.2043511
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Elongated plasmas lead to improved performance in tokamaks but make the plasma prone to vertical instability, which requires active feedback control, a critical issue for future fusion reactors. Vertical control was optimized for the TCV tokamak by applying modern control theory to electromagnetic models for the plasma-vessel-coils dynamics. Two different optimal combinations of poloidal field coils for vertical control actuation are derived from linear plasma response models and used on different timescales for controlling the plasma vertical position. On fast timescales, the priority is input minimization, while on long timescales position control is designed to be compatible with shape control. A structured H-infinity design extending classical H-infinity to fixed-structure control systems was subsequently applied to obtain an optimized controller using all available coils for position control. Closed-loop performance improvement was demonstrated in dedicated TCV experiments, showing a reduction of input requirement for stabilizing the same plasma, thus reducing the risk of power supply saturation and consequent loss of vertical control. This novel algorithm is adaptable to different plasma equilibria as it is designed for model-based automated coil selection and controller tuning, thus avoiding extensive experimental gain scans when performing plasma discharges in TCV. The presented technique is general and can be applied to any present tokamak with independent coils or for the design of future tokamak magnetic control systems.
引用
收藏
页码:427 / 448
页数:22
相关论文
共 50 条
  • [31] An Improved Model-based Control Scheme for Networked System
    Wang, Zhiwen
    Guo, Ge
    Luo, Dongsong
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 1509 - 1512
  • [32] An improved model-based control scheme for networked systems
    Mu, SM
    Chu, TG
    Wang, L
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 6131 - 6136
  • [33] Position Sensorless Control of SRMs Based on Improved Sliding Mode Speed Controller and Position Observer
    Sun, Xiaodong
    Wang, Nuonuo
    Yao, Ming
    Lei, Gang
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2025, 72 (01) : 100 - 110
  • [34] Model-based force/position control of cooperative manipulation systems
    AzizZadeh, Hamid
    Menhaj, Mohammad Bagher
    Talebi, Heidar Ali
    AUTOMATIKA, 2019, 60 (01) : 113 - 123
  • [35] Model-based Adaptive Friction Compensation for Accurate Position Control
    Nilkhamhang, Itthisek
    Sano, Akira
    47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008), 2008, : 1346 - 1351
  • [36] Model-based position control of Shape memory alloy actuators
    Neugebauer, Reimund
    Pagel, Kenny
    Bucht, Andre
    Drossel, Welf-Guntram
    International Journal of Mechatronics and Manufacturing Systems, 2012, 5 (02) : 93 - 105
  • [37] Model-based impurity emission front control using deuterium fueling and nitrogen seeding in TCV (vol 63, 026006, 2023)
    Koenders, J. T. W.
    Perek, A.
    Kool, B.
    Fevrier, O.
    Ravensbergen, T.
    Galperti, C.
    Duval, B. P.
    Theiler, C.
    van Berkel, M.
    NUCLEAR FUSION, 2023, 63 (06)
  • [38] Design of a speed controller for vertical one-link manipulator using internal model-based disturbance observer
    Lee, Cho-Won
    Kim, In Hyuk
    Son, Young Ik
    Transactions of the Korean Institute of Electrical Engineers, 2015, 64 (05): : 751 - 754
  • [39] Position Control of Heave Compensation for Offshore Cranes Based on a Particle Swarm Optimized Model Predictive Trajectory Path Controller
    Chen, Hao
    Xie, Jinke
    Han, Jingang
    Shi, Weifeng
    Charpentier, Jean-Frederic
    Benbouzid, Mohamed
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
  • [40] Implementation of the Takagi-Sugeno model-based fuzzy control using an adaptive gain controller
    Chen, JY
    Wong, CC
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2000, 147 (05): : 509 - 514