Model Predictive Control of the Current Density Distribution and Stored Energy in Tokamak Fusion Experiments using Trajectory Linearizations

TitleModel Predictive Control of the Current Density Distribution and Stored Energy in Tokamak Fusion Experiments using Trajectory Linearizations
Publication TypeConference Paper
Year of Publication2015
AuthorsB. Maljaars, F. Felici, M. de Baar, M. Steinbuch
Conference NameIFAC-PapersOnLine
Number23
Abstract

Tokamaks are used to confine high temperature plasmas for nuclear fusion research.In this work we apply model predictive control to the transport process in a tokamak plasma that can be described by a set of nonlinear coupled partial differential equations, where the controlled quantities are the current density distribution and stored thermal energy. Applying trajectory linearizations around already commonly predefined feedforward trajectories enables us to use linear MPC techniques that are computationally tractable for implementation on existing tokamaks. Special requirements for the MPC controller are that it should be able to handle real-time-varying references and constraints, whereas the system size, required prediction horizon and available computational time imposes additional challenges. An MPC controller is designed according to the requirements and its performance is analyzed in simulations that approach high performance plasma experiments in the ASDEX Upgrade tokamak. The results show the potential of the controller and encourage its further exploration and use in experiments.

DOI10.1016/j.ifacol.2015.11.301
Division

FP

Department

TP

PID

e9dffbe73e376c1c971c69289692d0c7

Alternate TitleIFAC-PapersOnLine
LabelOA

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