An Optimal Real-Time Controller for Vertical Plasma Stabilization

被引:11
作者
Cruz, N. [1 ]
Moret, J. -M. [2 ]
Coda, S. [2 ]
Duval, B. P. [2 ]
Le, H. B. [2 ]
Rodrigues, A. P. [1 ]
Varandas, C. A. F. [1 ]
Correia, C. M. B. A. [3 ]
Goncalves, B. [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Inst Plasmas & Fusao Nucl, P-1049001 Lisbon, Portugal
[2] Ecole Polytech Fed Lausanne, Ctr Rech Phys Plasmas, CH-1015 Lausanne, Switzerland
[3] Univ Coimbra, Ctr Instrumentacao, Dept Fis, P-3004516 Coimbra, Portugal
基金
瑞士国家科学基金会;
关键词
Optimal control; plasma control; real-time; tokamak; FEEDBACK STABILIZATION; GROWTH-RATES; TOKAMAK; EQUILIBRIUM; TCV; INSTABILITY; POSITION; TRANSPORT; SYSTEM; MODES;
D O I
10.1109/TNS.2015.2478965
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
Modern Tokamaks have evolved from the initial axisymmetric circular plasma shape to an elongated axisymmetric plasma shape that improves the energy confinement, which is one of the key factors to improve fusion reactor performance. However, the elongated plasma cross section introduces a vertical instability that requires a real-time feedback control loop to stabilize the plasma vertical position and velocity. At the Tokamak a Configuration Variable (TCV) in-vessel poloidal field coils driven by fast switching power supplies are used to stabilize highly elongated plasmas. TCV plasma experiments have used a PID algorithm based controller to correct the plasma vertical position. In late 2013 experiments a new optimal real-time controller was tested improving the stability of the plasma. This contribution describes the new optimal real-time controller developed. The choice of the model that describes the plasma response to the actuators is discussed. The high order model that is initially implemented needs the application of a mathematical order reduction and the validation of the new reduced model. The lower order model is used to derive the time optimal control law. A new method for the construction of the switching curves of a bang-bang controller is presented that is based on the state-space trajectories that optimize the time to target of the system. The final control algorithm and its implementation are described and preliminary experimental results are discussed.
引用
收藏
页码:3126 / 3133
页数:8
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