Model predictive control of resistive wall mode for ITER

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...

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Bibliographic Details
Published in:arXiv.org 2020-07
Main Authors: Gerksic, Samo, Pregelj, Bostjan, Ariola, Marco
Format: Article
Language:English
Subjects:
Coils
Computer simulation
Constraint modelling
Initial conditions
Linear quadratic Gaussian control
Model reduction
Noise control
Noise sensitivity
Optimization
Performance evaluation
Plasma pressure
Predictive control
Quadratic programming
Robust control
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.2007.07544