论文标题
iTer的电阻壁模式的模型预测控制
Model predictive control of resistive wall mode for ITER
论文作者
论文摘要
提出了使用Infinite-Horizon模型预测性控制（MPC）在高等离子体压力下的ITER H模式方案的主要电阻壁模式（RWM）的主动反馈稳定。 MPC方法与线性 - 季度高斯（LQG）控制密切相关，从而提高了约束附近的性能。通过从Carma Code产生的高维模型的模型降低模型来获得面向MPC的控制模型。由于在线优化的时间有限，因此选择仅选择输入（线圈电压）约束的合适MPC公式，并且使用原始的快速梯度方法来解决相关的二次编程问题。与LQG对照相比，在模拟中评估了性能。对噪声的敏感性，对不稳定的RWM动力学变化的鲁棒性以及不稳定模式初始条件吸引的域的大小的敏感性。
Active feedback stabilization of the dominant resistive wall mode (RWM) for an ITER H-mode scenario at high plasma pressure using infinite-horizon model predictive control (MPC) is presented. The MPC approach is closely-related to linear-quadratic-Gaussian (LQG) control, improving the performance in the vicinity of constraints. The control-oriented model for MPC is obtained with model reduction from a high-dimensional model produced by CarMa code. Due to the limited time for on-line optimization, a suitable MPC formulation considering only input (coil voltage) constraints is chosen, and the primal fast gradient method is used for solving the associated quadratic programming problem. The performance is evaluated in simulation in comparison to LQG control. Sensitivity to noise, robustness to changes of unstable RWM dynamics, and size of the domain of attraction of the initial conditions of the unstable modes are examined.
