Model-based electron density profile estimation and control, applied to ITER

TL;DR

This paper develops a model-based approach for estimating and controlling the electron density profile in ITER, integrating Thomson scattering data and model predictive control to achieve precise regulation while respecting physical limits.

Contribution

It introduces a novel combination of Thomson scattering-based state estimation and model predictive control for density profile regulation in ITER.

Findings

High-quality density profile estimation achieved with Thomson scattering.

Controller effectively regulates density distribution as desired.

Method respects physical limits like the Greenwald limit.

Abstract

In contemporary magnetic confinement devices, the density distribution is sensed with interferometers and actuated with feedback controlled gas injection and open-loop pellet injection. This is at variance with the density control for ITER and DEMO, that will depend mainly on pellet injection as an actuator in feed-back control. This paper presents recent developments in state estimation and control of the electron density profile for ITER using relevant sensors and actuators. As a first step, Thomson scattering is included in an existing dynamic state observer. Second, model predictive control is developed as a strategy to regulate the density profile while avoiding limits associated with the total density (Greenwald limit) or gradients in the density distribution (e.g. neo-classical impurity transport). Simulations show that high quality density profile estimation can be achieved with Thomson Scattering and that the controller is capable of regulating the distribution as desired.