Abstract 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.

中文翻译：

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ITER电阻壁模式的模型预测控制

摘要 提出了使用无限水平模型预测控制 (MPC) 在高等离子体压力下 ITER H 模式场景的主要电阻壁模式 (RWM) 的主动反馈稳定。MPC 方法与线性二次高斯 (LQG) 控制密切相关，可提高约束附近的性能。MPC 的面向控制的模型是从 CarMa 代码生成的高维模型中通过模型缩减获得的。由于在线优化的时间有限，选择了仅考虑输入（线圈电压）约束的合适 MPC 公式，并使用原始快速梯度方法解决相关的二次规划问题。与 LQG 控制相比，在模拟中评估了性能。对噪声的敏感性，对不稳定 RWM 动态变化的鲁棒性，